Total Brain Diagnostics: Advancing Precision Brain and Mental Health at the Department of Veterans Affairs

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Total Brain Diagnostics: Advancing Precision Brain and Mental Health at the Department of Veterans Affairs

In leveraging existing, readily available evidence-based health care information (eg, systematic reviews, clinical practice guidelines), clinicians have historically made recommendations based on treatment responses of the average patient.1 Recently, this approach has been expanded into data-driven, evidence-based precision medical care for individuals across a wide range of disciplines and care settings. These precision medicine approaches use information related to an individual’s genes, environment, and lifestyle to tailor recommendations regarding prevention, diagnosis, and treatment.

Applying precision medicine approaches to the unique exposures and experiences of service members and veterans—particularly those who served in combat environments—through the incorporation of biopsychosocial factors into medical decision-making may be even more pertinent. This sentiment is reflected in Section 305 of the Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, which outlines the Precision Medicine Initiative of the US Department of Veterans Affairs (VA) to identify and validate brain and mental health biomarkers.2 Despite widespread consensus regarding the promise of precision medicine, large, rich datasets with elements pertaining to common military exposures such as traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are limited.

Existing datasets, most of which are relatively small or focus on specific cohorts (eg, older veterans, transitioning veterans), continue to create barriers to advancing precision medicine. For example, in classically designed clinical trials, analyses are generally conducted in a manner that may obfuscate efficacy among subcohorts of individuals, thereby underscoring the need to explore alternative strategies to unify existing datasets capable of revealing such heterogeneity.3 The evidence base for precision medical care is limited, drawing from published trials with relatively small sample sizes and even larger cohort studies have limited biomarker data. Additionally, these models are often exploratory during development, and to avoid statistical overfitting of an exploratory model, validation in similar datasets is needed—an added burden when data sources are small or underpowered to begin with.

A promising approach is to combine and harmonize the largest, most deeply characterized data sources from similar samples. Although combining such datasets may appear to require minimal time and effort, harmonizing similar variables in an evidence-based and replicable manner requires time and expertise, even when participant characteristics and outcomes are similar.4-7

Challenges related to harmonization are related to the wide range of strategies (eg, self-report questionnaires, clinical interviews, electronic health record review) used to measure common brain and mental health constructs, such as depression. Even when similar methods (eg, self-report measures) are implemented, challenges persist. For example, if a study used a depression measure that focused primarily on cognitive symptoms (eg, pessimism, self-dislike, suicidal ideation) and another study used a depression measure composed of items more heavily weighted towards somatic symptoms (eg, insomnia, loss of appetite, weight loss, decreased libido), combining their data could be challenging, particularly if researchers, clinicians, or administrators are interested in more than dichotomous outcomes (eg, depression vs no depression).8,9

To address this knowledge gap and harmonize multimodal data from varied sources, well-planned and reproducible curation is needed. Longitudinal cohort studies of service members and veterans with military combat and training exposure histories provide researchers and other stakeholders access to extant biopsychosocial data shown to affect risk for adverse health outcomes; however, efforts to facilitate individually tailored treatment or other precision medicine approaches would benefit from the synthesis of such datasets.10

Members of the VA Total Brain Diagnostics (TBD) team are engaged in harmonizing variables from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC)11 and the Translational Research Center for TBI and Stress Disorders (TRACTS).12-21 While there is overlap across LIMBIC-CENC and TRACTS with respect to data domains, considerable data harmonization is needed to allow for future valid and meaningful analyses, particularly those involving multivariable predictors.

Data Sources

Both data sources for the TBD harmonization project, LIMBIC-CENC and TRACTS, include extensive, longitudinal data collected from relatively large cohorts of veterans and service members with combat exposure. Both studies collect detailed data related to potential brain injury history and include participants with and without a history of TBI. Similarly, both include extensive collection of fluid biomarkers and imaging data, as well as measures of biopsychosocial functioning.

Data collection sites for LIMBIC-CENC include 16 recruitment sites, 9 at VA medical centers (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego) and 7 at military treatment sites (Alexandria, San Diego, Tampa, Tacoma, Columbia, Coronado, Hinesville), in addition to 11 assessment sites (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego, Alexandria, Augusta). Data for TRACTS are collected at sites in Boston and Houston.

LIMBIC-CENC is a 12-year, 17-site cohort of service members and veteran participants with combat exposure who are well characterized at baseline and undergo annual reassessments. As of December 2025, > 3100 participants have been recruited, and nearly 90% remain in follow-up. Data collection includes > 6200 annual follow-up evaluations and > 1550 5-year re-evaluations, with 400 enrolled participants followed up annually.

TRACTS is a 16-year, 2-site cohort of veterans with combat exposure who complete comprehensive assessments at enrollment, undergo annual reassessments, and complete comprehensive reassessment every 5 years thereafter. As of December 2025, > 1075 participants have completed baseline (Time 1) assessments, > 600 have completed the 2-year re-evaluation (Time 2), > 175 have completed the 5-year re-evaluation (Time 3), and > 35 have completed 10-year evaluations (Time 4), with about 50 new participants added and 100 enrolled participants followed up annually. More data on participant characteristics are available for both LIMBIC-CENC and TRACTS in previous publications.11,22These 2 ongoing, prospective, longitudinal cohorts of service members and veterans offer access to a wide range of potential risk factors that can affect response to care and outcomes, including demographics (eg, age, sex), injury characteristics (eg, pre-exposure factors, exposure factors), biomarkers (eg, serum, saliva, brain imaging, evoked potentials), and functional measures (eg, computerized posturography, computerized eye tracking, sensory testing, clinical examination, neuropsychological assessments, symptom questionnaires).

Harmonization Strategy

Pooling and harmonizing data from large studies evaluating similar participant cohorts and conditions involves numerous steps to appropriately handle a variety of measurements and disparate variable names. The TBD team adapted a model data harmonization system developed by O’Neil et al through initial work harmonizing the Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR).4-7 This process was expanded and generalized by the research team to combine data from LIMBIC-CENC and TRACTS to create a single pooled dataset for analysis (Figure).

FDP04302056_F1
FIGURE. Data pooling and harmonization system for the Federal Interagency Traumatic Brain
Injury Research database.

This approach was selected because it accommodates heterogeneous study designs (eg, cross-sectional, longitudinal, case-control), data collection methods (eg, clinical assessment, self-reported, objective blood, and imaging biomarkers), and various assessments of the same construct (ie, different measures of brain injury). While exact matches for data collection methods and measures may be easily harmonized, the timing of assessment, number of assessments, assessment tool version, and other factors must be considered. The goal was to harmonize data from LIMBIC-CENC and TRACTS to allow additional data sources to be harmonized and incorporated in the future.

Original data files from each study were reshaped to represent participant-level observations with 1 unique measurement per row. The measurement represents what information was collected and the value recorded represents the unique observation. These data are linked to metadata from the original study, which includes the study’s definition of each measurement, how it was collected, and any available information regarding when it was collected in reference to study enrollment or injury. Additional information on the file source, row, and column position of each data point was added to enable recreation of the original data as needed.

The resulting dataset was used to harmonize measurements from LIMBIC-CENC and TRACTS into a priori-defined schemas for brain- and mental health-relevant concepts, including TBI severity, PTSD, substance use, depression, suicidal ideation, and functioning (including cognitive, physical, and social functioning). This process was facilitated using natural language processing (NLP). Each study uniquely defines all measurements and provides written definitions with the data. Measurement definitions serve as records describing what was collected, how it was collected, and how the study may have uniquely defined information for its purposes. For example, definitions of exposure to brain injury and severity of brain injury may differ between studies, and the study-provided definition defines these differences.

Definitions were converted into numeric vectors through sentence embedding, a process that preserves the semantic meaning of the definition.23 Cosine similarity was used as the primary metric to compare the semantic textual similarity between pairs of measurement definitions. Cosine similarity ranges from 0 to 1, where 0 indicates no meaningful similarity and 1 indicates they have identical meanings.24 This approach leverages the relationship between the definitions of each measurement provided by a study and enables quick comparison of all pairwise combinations of measurement definitions between studies.

Subsets of similar measurements across studies were organized into a priori-defined schema. Clinical experts then reviewed each schema and further refined them into domains, (eg, mechanism of injury, clinical signs, acute symptoms) and subdomains (children), such as loss of consciousness, amnesia, and alteration of consciousness. This approach allows efficient handling of 2 specific cases that commonly occur when pooling and harmonizing datasets: (1) identifying the same measurement with differing names; and (2) identifying different measurements with definitions that each relate to the same domain.

The Table provides a general example of the schema for TBI severity. This was an iterative process in which clinical experts reviewed study-defined measurement definitions to develop general harmonized domains, and NLP techniques facilitated and accelerated identification and organization of measurements within these domains.

FDP04302056_T1

Expected Impact

Harmonization combining LIMBIC-CENC and TRACTS datasets is ongoing. Preliminary descriptive analyses of baseline cohort data indicate that harmonization across data sources is appropriate, given the lack of significant heterogeneity across sites and studies for most domains. Work by members of the TBD team is expected to lay the foundation for the use of existing and ongoing prospective, longitudinal datasets (eg, LIMBIC-CENC, TRACTS) and linked large datasets (eg, VA Informatics and Computing Infrastructure including electronic health records, VA Million Veteran Program, DaVINCI [US Department of Defense and VA Infrastructure for Clinical Intelligence]) to generate generalizable, clinically relevant information to advance precision brain and mental health care among service members and veterans.

By enhancing existing practice, this synthesized dataset has the potential to inform tailored and personalized medicine approaches designed to meet the needs of veterans and service members. These data will serve as the starting point for multivariable models examining the intersection of physiologic, behavioral, and environmental factors. The goal of this data harmonization effort is to better elucidate how clinicians and researchers can select optimal approaches for veterans and service members with TBI histories by accounting for a comprehensive set of physiologic, behavioral, and environmental factors in an individually tailored manner. These data may further extend existing clinical practice guideline approaches, inform shared decision-making, and enhance functional outcomes beyond those currently available.

Conclusions

Individuals who have served in the military have unique biopsychosocial exposures that are associated with brain and mental health disorders. To address these needs, the nationwide TBD team has initiated the creation of a unified, longitudinal dataset that includes harmonized measures from existing LIMBIC-CENC and TRACTS protocols. Initial data harmonization efforts are required to facilitate precision prognostics, diagnostics, and tailored interventions, with the goal of improving veterans’ brain and mental health and psychosocial functioning and enabling tailored and evidence-informed, individualized clinical care.

References
  1. The Promise of Precision Medicine. National Institutes of Health (NIH). Updated January 21, 2025. Accessed January 5, 2026. https://www.nih.gov/about-nih/nih-turning-discovery-into-health/promise-precision-medicine.
  2. Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, S 785, 116th Cong (2019-2020) Accessed January 5, 2026. https://www.congress.gov/bill/116th-congress/senate-bill/785
  3. Cheng C, Messerschmidt L, Bravo I, et al. A general primer for data harmonization. Sci Data. 2024;11:152. doi:10.1038/s41597-024-02956-3
  4. Neil M, Cameron D, Clauss K, et al. A proof-of-concept study demonstrating how FITBIR datasets can be harmonized to examine posttraumatic stress disorder-traumatic brain injury associations. J Behav Data Sci. 2024;4:45-62. doi:10.35566/jbds/oneil
  5. O’Neil ME, Cameron D, Krushnic D, et al. Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning. Appl Neuropsychol Adult. doi:10.1080/23279095.2024.2401974
  6. O’Neil ME, Krushnic D, Clauss K, et al. Harmonizing federal interagency traumatic brain injury research data to examine depression and suicide-related outcomes. Rehabil Psychol. 2024;69:159-170. doi:10.1037/rep0000547
  7. O’Neil ME, Krushnic D, Walker WC, et al. Increased risk for clinically significant sleep disturbances in mild traumatic brain injury: an approach to leveraging the federal interagency traumatic brain injury research database. Brain Sci. 2024;14:921. doi:10.3390/brainsci14090921
  8. Uher R, Perlis RH, Placentino A, et al. Self-report and clinician-rated measures of depression severity: can one replace the other? Depress Anxiety. 2012;29:1043-1049. doi:10.1002/da.21993
  9. Hung CI, Weng LJ, Su YJ, et al. Depression and somatic symptoms scale: a new scale with both depression and somatic symptoms emphasized. Psychiatry Clin Neurosci. 2006;60:700-708. doi:10.1111/j.1440-1819.2006.01585.x
  10. Stewart IJ, Howard JT, Amuan ME, et al. Traumatic brain injury is associated with the subsequent risk of atrial fibrillation or atrial flutter. Heart Rhythm. 2025;22:661-667. doi:10.1016/j.hrthm.2024.09.019
  11. Cifu DX. Clinical research findings from the long-term impact of military-relevant brain injury consortium-chronic effects of neurotrauma consortium (LIMBIC-CENC) 2013-2021. Brain Inj. 2022;36:587-597.doi:10.1080/02699052.2022.2033843
  12. Fonda JR, Fredman L, Brogly SB, et al. Traumatic brain injury and attempted suicide among veterans of the wars in Iraq and Afghanistan. Am J Epidemiol. 2017;186:220-226. doi:10.1093/aje/kwx044
  13. Fortier CB, Amick MM, Kenna A, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime (BAT-L) clinical interview and the VA TBI screen. J Head Trauma Rehabil. 2015;30:E1-7. doi:10.1097/htr.0000000000000008
  14. Grande LJ, Robinson ME, Radigan LJ, et al. Verbal memory deficits in OEF/OIF/OND veterans exposed to blasts at close range. J Int Neuropsychol Soc. 2018;24:466-475. doi:10.1017/S1355617717001242
  15. Hayes JP, Logue MW, Sadeh N, et al. Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer’s disease. Brain. 2017;140:813-825. doi:10.1093/brain/aww344
  16. Lippa SM, Fonda JR, Fortier CB, et al. Deployment-related psychiatric and behavioral conditions and their association with functional disability in OEF/OIF/OND veterans. J Trauma Stress. 2015;28:25-33. doi:10.1002/jts.21979
  17. McGlinchey RE, Milberg WP, Fonda JR, et al. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudinal prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  18. Radigan LJ, McGlinchey RE, Milberg WP, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime and the VA Comprehensive TBI Evaluation. J Head Trauma Rehabil. 2018;33:E51-E55. doi:10.1097/htr.0000000000000361
  19. Sydnor VJ, Bouix S, Pasternak O, et al. Mild traumatic brain injury impacts associations between limbic system microstructure and post-traumatic stress disorder symptomatology. Neuroimage Clin. 2020;26:102190. doi:10.1016/j.nicl.2020.102190
  20. Van Etten EJ, Knight AR, Colaizzi TA, et al. Peritraumatic context and long-term outcomes of concussion. JAMA Netw Open. 2025;8:e2455622. doi:10.1001/jamanetworkopen.2024.55622
  21. Andrews RJ, Fonda JR, Levin LK, et al. Comprehensive analysis of the predictors of neurobehavioral symptom reporting in veterans. Neurology. 2018;91:e732-e745. doi:10.1212/wnl.0000000000006034
  22. McGlinchey RE, Milberg WP, Fonda JR, Fortier CB. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudional prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  23. Reimers N, Gurevych I. Sentence-BERT: Sentence embeddings using Siamese BERT-Networks. 2019. Conference on Empirical Methods in Natural Language Processing.
  24. Singhal A. Modern information retrieval: a brief overview. IEEE Data Eng Bull. 2001;24:34-43.
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Author and Disclosure Information

Maya O’Neil, PhDa,b; David Cameron, MPHa,b; David X. Cifu, MDc,d; Molly Sullan, PhDe,f; Kate Clauss, PhDa,b; William P. Milberg, PhDg,h; Catherine B. Fortier, PhDg,h; Elisabeth A. Wilde, PhDi,j; Ryan Holliday, PhD, OTR/Le,f,k; Adam Kinney, PhD, OTR/Le,f; Lisa A. Brenner, PhDe,f

Author affiliations
aVeterans Affairs Portland Health Care System, Oregon
bOregon Health & Science University, Portland
cCentral Virginia Veteran Healthcare System, Richmond
dVirginia Commonwealth University, Richmond
eVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado
fUniversity of Colorado, Aurora
gVeterans Affairs Boston Healthcare System, Massachusetts
hHarvard Medical School, Boston, Massachusetts
iVeterans Affairs Salt Lake City Healthcare System, Utah
jUniversity of Utah, Salt Lake City
kVeterans Affairs Pacific Island Health Care System, Honolulu, Hawaii

Author disclosures Maya O’Neil, Catherine Fortier, and William Milberg report grants from the US Department of Veterans Affairs (VA) and US Department of Defense (DoD). Lisa Brenner reports grants from the VA, DoD, National Institutes of Health (NIH), Face the Fight, and the State of Colorado, editorial remuneration from Wolters Kluwer and the RAND Corporation, and royalties from the American Psychological Association (APA) and Oxford University Press. David Cifu reports grants from the VA, DoD, NIH, and the National Institute on Disability, Independent Living, and Rehabilitation Research Agency, and royalties from Elsevier. Ryan Holliday reports grants from VA, DoD, and the State of Colorado. Elisabeth Wilde reports grants from the VA, DoD, and NIH and editorial remuneration from APA. Adam Kinney reports grants from the VA, State of Colorado, and American Occupational Therapy Foundation.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This research was reviewed by the Institutional Review Board and approved as a science only project by the Research and Development committee at Portland Veterans Affairs Health Care System.

Funding This project was funded by US Department of Veterans Affairs (VA) Rehabilitation Research and Development (RR&D) Grant (No. RX004911) to Maya O’Neil, Lisa Brenner, David Cifu, and Elisabeth Wilde. It was also supported by the Translational Research Center for TBI and Stress Disorders, a VA RR&D National Research Center for Traumatic Brain Injury (B3001-C), Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under Awards No. W81XWH1920067 and W81XWH-13-2-0095, and by the U.S. Department of Veterans Affairs Awards No. I01 CX002097, I01 CX002096, I01 HX003155, I01 RX003444, I01 RX003443, I01 RX003442, I01 CX001135, I01 CX001246, I01 RX001774, I01 RX 001135, I01 RX 002076, I01 RX 001880, I01 RX 002172, I01 RX 002173, I01 RX 002171, I01 RX 002174, and I01 RX 002170.

Correspondence: Maya O’Neil (maya.oneil@va.gov)

Fed Pract. 2026;43(2). Published online February 16. doi:10.12788/fp.0676

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Maya O’Neil, PhDa,b; David Cameron, MPHa,b; David X. Cifu, MDc,d; Molly Sullan, PhDe,f; Kate Clauss, PhDa,b; William P. Milberg, PhDg,h; Catherine B. Fortier, PhDg,h; Elisabeth A. Wilde, PhDi,j; Ryan Holliday, PhD, OTR/Le,f,k; Adam Kinney, PhD, OTR/Le,f; Lisa A. Brenner, PhDe,f

Author affiliations
aVeterans Affairs Portland Health Care System, Oregon
bOregon Health & Science University, Portland
cCentral Virginia Veteran Healthcare System, Richmond
dVirginia Commonwealth University, Richmond
eVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado
fUniversity of Colorado, Aurora
gVeterans Affairs Boston Healthcare System, Massachusetts
hHarvard Medical School, Boston, Massachusetts
iVeterans Affairs Salt Lake City Healthcare System, Utah
jUniversity of Utah, Salt Lake City
kVeterans Affairs Pacific Island Health Care System, Honolulu, Hawaii

Author disclosures Maya O’Neil, Catherine Fortier, and William Milberg report grants from the US Department of Veterans Affairs (VA) and US Department of Defense (DoD). Lisa Brenner reports grants from the VA, DoD, National Institutes of Health (NIH), Face the Fight, and the State of Colorado, editorial remuneration from Wolters Kluwer and the RAND Corporation, and royalties from the American Psychological Association (APA) and Oxford University Press. David Cifu reports grants from the VA, DoD, NIH, and the National Institute on Disability, Independent Living, and Rehabilitation Research Agency, and royalties from Elsevier. Ryan Holliday reports grants from VA, DoD, and the State of Colorado. Elisabeth Wilde reports grants from the VA, DoD, and NIH and editorial remuneration from APA. Adam Kinney reports grants from the VA, State of Colorado, and American Occupational Therapy Foundation.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This research was reviewed by the Institutional Review Board and approved as a science only project by the Research and Development committee at Portland Veterans Affairs Health Care System.

Funding This project was funded by US Department of Veterans Affairs (VA) Rehabilitation Research and Development (RR&D) Grant (No. RX004911) to Maya O’Neil, Lisa Brenner, David Cifu, and Elisabeth Wilde. It was also supported by the Translational Research Center for TBI and Stress Disorders, a VA RR&D National Research Center for Traumatic Brain Injury (B3001-C), Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under Awards No. W81XWH1920067 and W81XWH-13-2-0095, and by the U.S. Department of Veterans Affairs Awards No. I01 CX002097, I01 CX002096, I01 HX003155, I01 RX003444, I01 RX003443, I01 RX003442, I01 CX001135, I01 CX001246, I01 RX001774, I01 RX 001135, I01 RX 002076, I01 RX 001880, I01 RX 002172, I01 RX 002173, I01 RX 002171, I01 RX 002174, and I01 RX 002170.

Correspondence: Maya O’Neil (maya.oneil@va.gov)

Fed Pract. 2026;43(2). Published online February 16. doi:10.12788/fp.0676

Author and Disclosure Information

Maya O’Neil, PhDa,b; David Cameron, MPHa,b; David X. Cifu, MDc,d; Molly Sullan, PhDe,f; Kate Clauss, PhDa,b; William P. Milberg, PhDg,h; Catherine B. Fortier, PhDg,h; Elisabeth A. Wilde, PhDi,j; Ryan Holliday, PhD, OTR/Le,f,k; Adam Kinney, PhD, OTR/Le,f; Lisa A. Brenner, PhDe,f

Author affiliations
aVeterans Affairs Portland Health Care System, Oregon
bOregon Health & Science University, Portland
cCentral Virginia Veteran Healthcare System, Richmond
dVirginia Commonwealth University, Richmond
eVeterans Affairs Rocky Mountain Regional Medical Center, Aurora, Colorado
fUniversity of Colorado, Aurora
gVeterans Affairs Boston Healthcare System, Massachusetts
hHarvard Medical School, Boston, Massachusetts
iVeterans Affairs Salt Lake City Healthcare System, Utah
jUniversity of Utah, Salt Lake City
kVeterans Affairs Pacific Island Health Care System, Honolulu, Hawaii

Author disclosures Maya O’Neil, Catherine Fortier, and William Milberg report grants from the US Department of Veterans Affairs (VA) and US Department of Defense (DoD). Lisa Brenner reports grants from the VA, DoD, National Institutes of Health (NIH), Face the Fight, and the State of Colorado, editorial remuneration from Wolters Kluwer and the RAND Corporation, and royalties from the American Psychological Association (APA) and Oxford University Press. David Cifu reports grants from the VA, DoD, NIH, and the National Institute on Disability, Independent Living, and Rehabilitation Research Agency, and royalties from Elsevier. Ryan Holliday reports grants from VA, DoD, and the State of Colorado. Elisabeth Wilde reports grants from the VA, DoD, and NIH and editorial remuneration from APA. Adam Kinney reports grants from the VA, State of Colorado, and American Occupational Therapy Foundation.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.

Ethics and consent This research was reviewed by the Institutional Review Board and approved as a science only project by the Research and Development committee at Portland Veterans Affairs Health Care System.

Funding This project was funded by US Department of Veterans Affairs (VA) Rehabilitation Research and Development (RR&D) Grant (No. RX004911) to Maya O’Neil, Lisa Brenner, David Cifu, and Elisabeth Wilde. It was also supported by the Translational Research Center for TBI and Stress Disorders, a VA RR&D National Research Center for Traumatic Brain Injury (B3001-C), Psychological Health/Traumatic Brain Injury Research Program Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC) Award/W81XWH-18-PH/TBIRP-LIMBIC under Awards No. W81XWH1920067 and W81XWH-13-2-0095, and by the U.S. Department of Veterans Affairs Awards No. I01 CX002097, I01 CX002096, I01 HX003155, I01 RX003444, I01 RX003443, I01 RX003442, I01 CX001135, I01 CX001246, I01 RX001774, I01 RX 001135, I01 RX 002076, I01 RX 001880, I01 RX 002172, I01 RX 002173, I01 RX 002171, I01 RX 002174, and I01 RX 002170.

Correspondence: Maya O’Neil (maya.oneil@va.gov)

Fed Pract. 2026;43(2). Published online February 16. doi:10.12788/fp.0676

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In leveraging existing, readily available evidence-based health care information (eg, systematic reviews, clinical practice guidelines), clinicians have historically made recommendations based on treatment responses of the average patient.1 Recently, this approach has been expanded into data-driven, evidence-based precision medical care for individuals across a wide range of disciplines and care settings. These precision medicine approaches use information related to an individual’s genes, environment, and lifestyle to tailor recommendations regarding prevention, diagnosis, and treatment.

Applying precision medicine approaches to the unique exposures and experiences of service members and veterans—particularly those who served in combat environments—through the incorporation of biopsychosocial factors into medical decision-making may be even more pertinent. This sentiment is reflected in Section 305 of the Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, which outlines the Precision Medicine Initiative of the US Department of Veterans Affairs (VA) to identify and validate brain and mental health biomarkers.2 Despite widespread consensus regarding the promise of precision medicine, large, rich datasets with elements pertaining to common military exposures such as traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are limited.

Existing datasets, most of which are relatively small or focus on specific cohorts (eg, older veterans, transitioning veterans), continue to create barriers to advancing precision medicine. For example, in classically designed clinical trials, analyses are generally conducted in a manner that may obfuscate efficacy among subcohorts of individuals, thereby underscoring the need to explore alternative strategies to unify existing datasets capable of revealing such heterogeneity.3 The evidence base for precision medical care is limited, drawing from published trials with relatively small sample sizes and even larger cohort studies have limited biomarker data. Additionally, these models are often exploratory during development, and to avoid statistical overfitting of an exploratory model, validation in similar datasets is needed—an added burden when data sources are small or underpowered to begin with.

A promising approach is to combine and harmonize the largest, most deeply characterized data sources from similar samples. Although combining such datasets may appear to require minimal time and effort, harmonizing similar variables in an evidence-based and replicable manner requires time and expertise, even when participant characteristics and outcomes are similar.4-7

Challenges related to harmonization are related to the wide range of strategies (eg, self-report questionnaires, clinical interviews, electronic health record review) used to measure common brain and mental health constructs, such as depression. Even when similar methods (eg, self-report measures) are implemented, challenges persist. For example, if a study used a depression measure that focused primarily on cognitive symptoms (eg, pessimism, self-dislike, suicidal ideation) and another study used a depression measure composed of items more heavily weighted towards somatic symptoms (eg, insomnia, loss of appetite, weight loss, decreased libido), combining their data could be challenging, particularly if researchers, clinicians, or administrators are interested in more than dichotomous outcomes (eg, depression vs no depression).8,9

To address this knowledge gap and harmonize multimodal data from varied sources, well-planned and reproducible curation is needed. Longitudinal cohort studies of service members and veterans with military combat and training exposure histories provide researchers and other stakeholders access to extant biopsychosocial data shown to affect risk for adverse health outcomes; however, efforts to facilitate individually tailored treatment or other precision medicine approaches would benefit from the synthesis of such datasets.10

Members of the VA Total Brain Diagnostics (TBD) team are engaged in harmonizing variables from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC)11 and the Translational Research Center for TBI and Stress Disorders (TRACTS).12-21 While there is overlap across LIMBIC-CENC and TRACTS with respect to data domains, considerable data harmonization is needed to allow for future valid and meaningful analyses, particularly those involving multivariable predictors.

Data Sources

Both data sources for the TBD harmonization project, LIMBIC-CENC and TRACTS, include extensive, longitudinal data collected from relatively large cohorts of veterans and service members with combat exposure. Both studies collect detailed data related to potential brain injury history and include participants with and without a history of TBI. Similarly, both include extensive collection of fluid biomarkers and imaging data, as well as measures of biopsychosocial functioning.

Data collection sites for LIMBIC-CENC include 16 recruitment sites, 9 at VA medical centers (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego) and 7 at military treatment sites (Alexandria, San Diego, Tampa, Tacoma, Columbia, Coronado, Hinesville), in addition to 11 assessment sites (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego, Alexandria, Augusta). Data for TRACTS are collected at sites in Boston and Houston.

LIMBIC-CENC is a 12-year, 17-site cohort of service members and veteran participants with combat exposure who are well characterized at baseline and undergo annual reassessments. As of December 2025, > 3100 participants have been recruited, and nearly 90% remain in follow-up. Data collection includes > 6200 annual follow-up evaluations and > 1550 5-year re-evaluations, with 400 enrolled participants followed up annually.

TRACTS is a 16-year, 2-site cohort of veterans with combat exposure who complete comprehensive assessments at enrollment, undergo annual reassessments, and complete comprehensive reassessment every 5 years thereafter. As of December 2025, > 1075 participants have completed baseline (Time 1) assessments, > 600 have completed the 2-year re-evaluation (Time 2), > 175 have completed the 5-year re-evaluation (Time 3), and > 35 have completed 10-year evaluations (Time 4), with about 50 new participants added and 100 enrolled participants followed up annually. More data on participant characteristics are available for both LIMBIC-CENC and TRACTS in previous publications.11,22These 2 ongoing, prospective, longitudinal cohorts of service members and veterans offer access to a wide range of potential risk factors that can affect response to care and outcomes, including demographics (eg, age, sex), injury characteristics (eg, pre-exposure factors, exposure factors), biomarkers (eg, serum, saliva, brain imaging, evoked potentials), and functional measures (eg, computerized posturography, computerized eye tracking, sensory testing, clinical examination, neuropsychological assessments, symptom questionnaires).

Harmonization Strategy

Pooling and harmonizing data from large studies evaluating similar participant cohorts and conditions involves numerous steps to appropriately handle a variety of measurements and disparate variable names. The TBD team adapted a model data harmonization system developed by O’Neil et al through initial work harmonizing the Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR).4-7 This process was expanded and generalized by the research team to combine data from LIMBIC-CENC and TRACTS to create a single pooled dataset for analysis (Figure).

FDP04302056_F1
FIGURE. Data pooling and harmonization system for the Federal Interagency Traumatic Brain
Injury Research database.

This approach was selected because it accommodates heterogeneous study designs (eg, cross-sectional, longitudinal, case-control), data collection methods (eg, clinical assessment, self-reported, objective blood, and imaging biomarkers), and various assessments of the same construct (ie, different measures of brain injury). While exact matches for data collection methods and measures may be easily harmonized, the timing of assessment, number of assessments, assessment tool version, and other factors must be considered. The goal was to harmonize data from LIMBIC-CENC and TRACTS to allow additional data sources to be harmonized and incorporated in the future.

Original data files from each study were reshaped to represent participant-level observations with 1 unique measurement per row. The measurement represents what information was collected and the value recorded represents the unique observation. These data are linked to metadata from the original study, which includes the study’s definition of each measurement, how it was collected, and any available information regarding when it was collected in reference to study enrollment or injury. Additional information on the file source, row, and column position of each data point was added to enable recreation of the original data as needed.

The resulting dataset was used to harmonize measurements from LIMBIC-CENC and TRACTS into a priori-defined schemas for brain- and mental health-relevant concepts, including TBI severity, PTSD, substance use, depression, suicidal ideation, and functioning (including cognitive, physical, and social functioning). This process was facilitated using natural language processing (NLP). Each study uniquely defines all measurements and provides written definitions with the data. Measurement definitions serve as records describing what was collected, how it was collected, and how the study may have uniquely defined information for its purposes. For example, definitions of exposure to brain injury and severity of brain injury may differ between studies, and the study-provided definition defines these differences.

Definitions were converted into numeric vectors through sentence embedding, a process that preserves the semantic meaning of the definition.23 Cosine similarity was used as the primary metric to compare the semantic textual similarity between pairs of measurement definitions. Cosine similarity ranges from 0 to 1, where 0 indicates no meaningful similarity and 1 indicates they have identical meanings.24 This approach leverages the relationship between the definitions of each measurement provided by a study and enables quick comparison of all pairwise combinations of measurement definitions between studies.

Subsets of similar measurements across studies were organized into a priori-defined schema. Clinical experts then reviewed each schema and further refined them into domains, (eg, mechanism of injury, clinical signs, acute symptoms) and subdomains (children), such as loss of consciousness, amnesia, and alteration of consciousness. This approach allows efficient handling of 2 specific cases that commonly occur when pooling and harmonizing datasets: (1) identifying the same measurement with differing names; and (2) identifying different measurements with definitions that each relate to the same domain.

The Table provides a general example of the schema for TBI severity. This was an iterative process in which clinical experts reviewed study-defined measurement definitions to develop general harmonized domains, and NLP techniques facilitated and accelerated identification and organization of measurements within these domains.

FDP04302056_T1

Expected Impact

Harmonization combining LIMBIC-CENC and TRACTS datasets is ongoing. Preliminary descriptive analyses of baseline cohort data indicate that harmonization across data sources is appropriate, given the lack of significant heterogeneity across sites and studies for most domains. Work by members of the TBD team is expected to lay the foundation for the use of existing and ongoing prospective, longitudinal datasets (eg, LIMBIC-CENC, TRACTS) and linked large datasets (eg, VA Informatics and Computing Infrastructure including electronic health records, VA Million Veteran Program, DaVINCI [US Department of Defense and VA Infrastructure for Clinical Intelligence]) to generate generalizable, clinically relevant information to advance precision brain and mental health care among service members and veterans.

By enhancing existing practice, this synthesized dataset has the potential to inform tailored and personalized medicine approaches designed to meet the needs of veterans and service members. These data will serve as the starting point for multivariable models examining the intersection of physiologic, behavioral, and environmental factors. The goal of this data harmonization effort is to better elucidate how clinicians and researchers can select optimal approaches for veterans and service members with TBI histories by accounting for a comprehensive set of physiologic, behavioral, and environmental factors in an individually tailored manner. These data may further extend existing clinical practice guideline approaches, inform shared decision-making, and enhance functional outcomes beyond those currently available.

Conclusions

Individuals who have served in the military have unique biopsychosocial exposures that are associated with brain and mental health disorders. To address these needs, the nationwide TBD team has initiated the creation of a unified, longitudinal dataset that includes harmonized measures from existing LIMBIC-CENC and TRACTS protocols. Initial data harmonization efforts are required to facilitate precision prognostics, diagnostics, and tailored interventions, with the goal of improving veterans’ brain and mental health and psychosocial functioning and enabling tailored and evidence-informed, individualized clinical care.

In leveraging existing, readily available evidence-based health care information (eg, systematic reviews, clinical practice guidelines), clinicians have historically made recommendations based on treatment responses of the average patient.1 Recently, this approach has been expanded into data-driven, evidence-based precision medical care for individuals across a wide range of disciplines and care settings. These precision medicine approaches use information related to an individual’s genes, environment, and lifestyle to tailor recommendations regarding prevention, diagnosis, and treatment.

Applying precision medicine approaches to the unique exposures and experiences of service members and veterans—particularly those who served in combat environments—through the incorporation of biopsychosocial factors into medical decision-making may be even more pertinent. This sentiment is reflected in Section 305 of the Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, which outlines the Precision Medicine Initiative of the US Department of Veterans Affairs (VA) to identify and validate brain and mental health biomarkers.2 Despite widespread consensus regarding the promise of precision medicine, large, rich datasets with elements pertaining to common military exposures such as traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are limited.

Existing datasets, most of which are relatively small or focus on specific cohorts (eg, older veterans, transitioning veterans), continue to create barriers to advancing precision medicine. For example, in classically designed clinical trials, analyses are generally conducted in a manner that may obfuscate efficacy among subcohorts of individuals, thereby underscoring the need to explore alternative strategies to unify existing datasets capable of revealing such heterogeneity.3 The evidence base for precision medical care is limited, drawing from published trials with relatively small sample sizes and even larger cohort studies have limited biomarker data. Additionally, these models are often exploratory during development, and to avoid statistical overfitting of an exploratory model, validation in similar datasets is needed—an added burden when data sources are small or underpowered to begin with.

A promising approach is to combine and harmonize the largest, most deeply characterized data sources from similar samples. Although combining such datasets may appear to require minimal time and effort, harmonizing similar variables in an evidence-based and replicable manner requires time and expertise, even when participant characteristics and outcomes are similar.4-7

Challenges related to harmonization are related to the wide range of strategies (eg, self-report questionnaires, clinical interviews, electronic health record review) used to measure common brain and mental health constructs, such as depression. Even when similar methods (eg, self-report measures) are implemented, challenges persist. For example, if a study used a depression measure that focused primarily on cognitive symptoms (eg, pessimism, self-dislike, suicidal ideation) and another study used a depression measure composed of items more heavily weighted towards somatic symptoms (eg, insomnia, loss of appetite, weight loss, decreased libido), combining their data could be challenging, particularly if researchers, clinicians, or administrators are interested in more than dichotomous outcomes (eg, depression vs no depression).8,9

To address this knowledge gap and harmonize multimodal data from varied sources, well-planned and reproducible curation is needed. Longitudinal cohort studies of service members and veterans with military combat and training exposure histories provide researchers and other stakeholders access to extant biopsychosocial data shown to affect risk for adverse health outcomes; however, efforts to facilitate individually tailored treatment or other precision medicine approaches would benefit from the synthesis of such datasets.10

Members of the VA Total Brain Diagnostics (TBD) team are engaged in harmonizing variables from the Long-Term Impact of Military-Relevant Brain Injury Consortium–Chronic Effects of Neurotrauma Consortium (LIMBIC-CENC)11 and the Translational Research Center for TBI and Stress Disorders (TRACTS).12-21 While there is overlap across LIMBIC-CENC and TRACTS with respect to data domains, considerable data harmonization is needed to allow for future valid and meaningful analyses, particularly those involving multivariable predictors.

Data Sources

Both data sources for the TBD harmonization project, LIMBIC-CENC and TRACTS, include extensive, longitudinal data collected from relatively large cohorts of veterans and service members with combat exposure. Both studies collect detailed data related to potential brain injury history and include participants with and without a history of TBI. Similarly, both include extensive collection of fluid biomarkers and imaging data, as well as measures of biopsychosocial functioning.

Data collection sites for LIMBIC-CENC include 16 recruitment sites, 9 at VA medical centers (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego) and 7 at military treatment sites (Alexandria, San Diego, Tampa, Tacoma, Columbia, Coronado, Hinesville), in addition to 11 assessment sites (Richmond, Houston, Tampa, San Antonio, Portland, Minneapolis, Boston, Salisbury, San Diego, Alexandria, Augusta). Data for TRACTS are collected at sites in Boston and Houston.

LIMBIC-CENC is a 12-year, 17-site cohort of service members and veteran participants with combat exposure who are well characterized at baseline and undergo annual reassessments. As of December 2025, > 3100 participants have been recruited, and nearly 90% remain in follow-up. Data collection includes > 6200 annual follow-up evaluations and > 1550 5-year re-evaluations, with 400 enrolled participants followed up annually.

TRACTS is a 16-year, 2-site cohort of veterans with combat exposure who complete comprehensive assessments at enrollment, undergo annual reassessments, and complete comprehensive reassessment every 5 years thereafter. As of December 2025, > 1075 participants have completed baseline (Time 1) assessments, > 600 have completed the 2-year re-evaluation (Time 2), > 175 have completed the 5-year re-evaluation (Time 3), and > 35 have completed 10-year evaluations (Time 4), with about 50 new participants added and 100 enrolled participants followed up annually. More data on participant characteristics are available for both LIMBIC-CENC and TRACTS in previous publications.11,22These 2 ongoing, prospective, longitudinal cohorts of service members and veterans offer access to a wide range of potential risk factors that can affect response to care and outcomes, including demographics (eg, age, sex), injury characteristics (eg, pre-exposure factors, exposure factors), biomarkers (eg, serum, saliva, brain imaging, evoked potentials), and functional measures (eg, computerized posturography, computerized eye tracking, sensory testing, clinical examination, neuropsychological assessments, symptom questionnaires).

Harmonization Strategy

Pooling and harmonizing data from large studies evaluating similar participant cohorts and conditions involves numerous steps to appropriately handle a variety of measurements and disparate variable names. The TBD team adapted a model data harmonization system developed by O’Neil et al through initial work harmonizing the Federal Interagency Traumatic Brain Injury Research Informatics System (FITBIR).4-7 This process was expanded and generalized by the research team to combine data from LIMBIC-CENC and TRACTS to create a single pooled dataset for analysis (Figure).

FDP04302056_F1
FIGURE. Data pooling and harmonization system for the Federal Interagency Traumatic Brain
Injury Research database.

This approach was selected because it accommodates heterogeneous study designs (eg, cross-sectional, longitudinal, case-control), data collection methods (eg, clinical assessment, self-reported, objective blood, and imaging biomarkers), and various assessments of the same construct (ie, different measures of brain injury). While exact matches for data collection methods and measures may be easily harmonized, the timing of assessment, number of assessments, assessment tool version, and other factors must be considered. The goal was to harmonize data from LIMBIC-CENC and TRACTS to allow additional data sources to be harmonized and incorporated in the future.

Original data files from each study were reshaped to represent participant-level observations with 1 unique measurement per row. The measurement represents what information was collected and the value recorded represents the unique observation. These data are linked to metadata from the original study, which includes the study’s definition of each measurement, how it was collected, and any available information regarding when it was collected in reference to study enrollment or injury. Additional information on the file source, row, and column position of each data point was added to enable recreation of the original data as needed.

The resulting dataset was used to harmonize measurements from LIMBIC-CENC and TRACTS into a priori-defined schemas for brain- and mental health-relevant concepts, including TBI severity, PTSD, substance use, depression, suicidal ideation, and functioning (including cognitive, physical, and social functioning). This process was facilitated using natural language processing (NLP). Each study uniquely defines all measurements and provides written definitions with the data. Measurement definitions serve as records describing what was collected, how it was collected, and how the study may have uniquely defined information for its purposes. For example, definitions of exposure to brain injury and severity of brain injury may differ between studies, and the study-provided definition defines these differences.

Definitions were converted into numeric vectors through sentence embedding, a process that preserves the semantic meaning of the definition.23 Cosine similarity was used as the primary metric to compare the semantic textual similarity between pairs of measurement definitions. Cosine similarity ranges from 0 to 1, where 0 indicates no meaningful similarity and 1 indicates they have identical meanings.24 This approach leverages the relationship between the definitions of each measurement provided by a study and enables quick comparison of all pairwise combinations of measurement definitions between studies.

Subsets of similar measurements across studies were organized into a priori-defined schema. Clinical experts then reviewed each schema and further refined them into domains, (eg, mechanism of injury, clinical signs, acute symptoms) and subdomains (children), such as loss of consciousness, amnesia, and alteration of consciousness. This approach allows efficient handling of 2 specific cases that commonly occur when pooling and harmonizing datasets: (1) identifying the same measurement with differing names; and (2) identifying different measurements with definitions that each relate to the same domain.

The Table provides a general example of the schema for TBI severity. This was an iterative process in which clinical experts reviewed study-defined measurement definitions to develop general harmonized domains, and NLP techniques facilitated and accelerated identification and organization of measurements within these domains.

FDP04302056_T1

Expected Impact

Harmonization combining LIMBIC-CENC and TRACTS datasets is ongoing. Preliminary descriptive analyses of baseline cohort data indicate that harmonization across data sources is appropriate, given the lack of significant heterogeneity across sites and studies for most domains. Work by members of the TBD team is expected to lay the foundation for the use of existing and ongoing prospective, longitudinal datasets (eg, LIMBIC-CENC, TRACTS) and linked large datasets (eg, VA Informatics and Computing Infrastructure including electronic health records, VA Million Veteran Program, DaVINCI [US Department of Defense and VA Infrastructure for Clinical Intelligence]) to generate generalizable, clinically relevant information to advance precision brain and mental health care among service members and veterans.

By enhancing existing practice, this synthesized dataset has the potential to inform tailored and personalized medicine approaches designed to meet the needs of veterans and service members. These data will serve as the starting point for multivariable models examining the intersection of physiologic, behavioral, and environmental factors. The goal of this data harmonization effort is to better elucidate how clinicians and researchers can select optimal approaches for veterans and service members with TBI histories by accounting for a comprehensive set of physiologic, behavioral, and environmental factors in an individually tailored manner. These data may further extend existing clinical practice guideline approaches, inform shared decision-making, and enhance functional outcomes beyond those currently available.

Conclusions

Individuals who have served in the military have unique biopsychosocial exposures that are associated with brain and mental health disorders. To address these needs, the nationwide TBD team has initiated the creation of a unified, longitudinal dataset that includes harmonized measures from existing LIMBIC-CENC and TRACTS protocols. Initial data harmonization efforts are required to facilitate precision prognostics, diagnostics, and tailored interventions, with the goal of improving veterans’ brain and mental health and psychosocial functioning and enabling tailored and evidence-informed, individualized clinical care.

References
  1. The Promise of Precision Medicine. National Institutes of Health (NIH). Updated January 21, 2025. Accessed January 5, 2026. https://www.nih.gov/about-nih/nih-turning-discovery-into-health/promise-precision-medicine.
  2. Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, S 785, 116th Cong (2019-2020) Accessed January 5, 2026. https://www.congress.gov/bill/116th-congress/senate-bill/785
  3. Cheng C, Messerschmidt L, Bravo I, et al. A general primer for data harmonization. Sci Data. 2024;11:152. doi:10.1038/s41597-024-02956-3
  4. Neil M, Cameron D, Clauss K, et al. A proof-of-concept study demonstrating how FITBIR datasets can be harmonized to examine posttraumatic stress disorder-traumatic brain injury associations. J Behav Data Sci. 2024;4:45-62. doi:10.35566/jbds/oneil
  5. O’Neil ME, Cameron D, Krushnic D, et al. Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning. Appl Neuropsychol Adult. doi:10.1080/23279095.2024.2401974
  6. O’Neil ME, Krushnic D, Clauss K, et al. Harmonizing federal interagency traumatic brain injury research data to examine depression and suicide-related outcomes. Rehabil Psychol. 2024;69:159-170. doi:10.1037/rep0000547
  7. O’Neil ME, Krushnic D, Walker WC, et al. Increased risk for clinically significant sleep disturbances in mild traumatic brain injury: an approach to leveraging the federal interagency traumatic brain injury research database. Brain Sci. 2024;14:921. doi:10.3390/brainsci14090921
  8. Uher R, Perlis RH, Placentino A, et al. Self-report and clinician-rated measures of depression severity: can one replace the other? Depress Anxiety. 2012;29:1043-1049. doi:10.1002/da.21993
  9. Hung CI, Weng LJ, Su YJ, et al. Depression and somatic symptoms scale: a new scale with both depression and somatic symptoms emphasized. Psychiatry Clin Neurosci. 2006;60:700-708. doi:10.1111/j.1440-1819.2006.01585.x
  10. Stewart IJ, Howard JT, Amuan ME, et al. Traumatic brain injury is associated with the subsequent risk of atrial fibrillation or atrial flutter. Heart Rhythm. 2025;22:661-667. doi:10.1016/j.hrthm.2024.09.019
  11. Cifu DX. Clinical research findings from the long-term impact of military-relevant brain injury consortium-chronic effects of neurotrauma consortium (LIMBIC-CENC) 2013-2021. Brain Inj. 2022;36:587-597.doi:10.1080/02699052.2022.2033843
  12. Fonda JR, Fredman L, Brogly SB, et al. Traumatic brain injury and attempted suicide among veterans of the wars in Iraq and Afghanistan. Am J Epidemiol. 2017;186:220-226. doi:10.1093/aje/kwx044
  13. Fortier CB, Amick MM, Kenna A, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime (BAT-L) clinical interview and the VA TBI screen. J Head Trauma Rehabil. 2015;30:E1-7. doi:10.1097/htr.0000000000000008
  14. Grande LJ, Robinson ME, Radigan LJ, et al. Verbal memory deficits in OEF/OIF/OND veterans exposed to blasts at close range. J Int Neuropsychol Soc. 2018;24:466-475. doi:10.1017/S1355617717001242
  15. Hayes JP, Logue MW, Sadeh N, et al. Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer’s disease. Brain. 2017;140:813-825. doi:10.1093/brain/aww344
  16. Lippa SM, Fonda JR, Fortier CB, et al. Deployment-related psychiatric and behavioral conditions and their association with functional disability in OEF/OIF/OND veterans. J Trauma Stress. 2015;28:25-33. doi:10.1002/jts.21979
  17. McGlinchey RE, Milberg WP, Fonda JR, et al. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudinal prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  18. Radigan LJ, McGlinchey RE, Milberg WP, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime and the VA Comprehensive TBI Evaluation. J Head Trauma Rehabil. 2018;33:E51-E55. doi:10.1097/htr.0000000000000361
  19. Sydnor VJ, Bouix S, Pasternak O, et al. Mild traumatic brain injury impacts associations between limbic system microstructure and post-traumatic stress disorder symptomatology. Neuroimage Clin. 2020;26:102190. doi:10.1016/j.nicl.2020.102190
  20. Van Etten EJ, Knight AR, Colaizzi TA, et al. Peritraumatic context and long-term outcomes of concussion. JAMA Netw Open. 2025;8:e2455622. doi:10.1001/jamanetworkopen.2024.55622
  21. Andrews RJ, Fonda JR, Levin LK, et al. Comprehensive analysis of the predictors of neurobehavioral symptom reporting in veterans. Neurology. 2018;91:e732-e745. doi:10.1212/wnl.0000000000006034
  22. McGlinchey RE, Milberg WP, Fonda JR, Fortier CB. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudional prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  23. Reimers N, Gurevych I. Sentence-BERT: Sentence embeddings using Siamese BERT-Networks. 2019. Conference on Empirical Methods in Natural Language Processing.
  24. Singhal A. Modern information retrieval: a brief overview. IEEE Data Eng Bull. 2001;24:34-43.
References
  1. The Promise of Precision Medicine. National Institutes of Health (NIH). Updated January 21, 2025. Accessed January 5, 2026. https://www.nih.gov/about-nih/nih-turning-discovery-into-health/promise-precision-medicine.
  2. Commander John Scott Hannon Veterans Mental Health Care Improvement Act of 2019, S 785, 116th Cong (2019-2020) Accessed January 5, 2026. https://www.congress.gov/bill/116th-congress/senate-bill/785
  3. Cheng C, Messerschmidt L, Bravo I, et al. A general primer for data harmonization. Sci Data. 2024;11:152. doi:10.1038/s41597-024-02956-3
  4. Neil M, Cameron D, Clauss K, et al. A proof-of-concept study demonstrating how FITBIR datasets can be harmonized to examine posttraumatic stress disorder-traumatic brain injury associations. J Behav Data Sci. 2024;4:45-62. doi:10.35566/jbds/oneil
  5. O’Neil ME, Cameron D, Krushnic D, et al. Using harmonized FITBIR datasets to examine associations between TBI history and cognitive functioning. Appl Neuropsychol Adult. doi:10.1080/23279095.2024.2401974
  6. O’Neil ME, Krushnic D, Clauss K, et al. Harmonizing federal interagency traumatic brain injury research data to examine depression and suicide-related outcomes. Rehabil Psychol. 2024;69:159-170. doi:10.1037/rep0000547
  7. O’Neil ME, Krushnic D, Walker WC, et al. Increased risk for clinically significant sleep disturbances in mild traumatic brain injury: an approach to leveraging the federal interagency traumatic brain injury research database. Brain Sci. 2024;14:921. doi:10.3390/brainsci14090921
  8. Uher R, Perlis RH, Placentino A, et al. Self-report and clinician-rated measures of depression severity: can one replace the other? Depress Anxiety. 2012;29:1043-1049. doi:10.1002/da.21993
  9. Hung CI, Weng LJ, Su YJ, et al. Depression and somatic symptoms scale: a new scale with both depression and somatic symptoms emphasized. Psychiatry Clin Neurosci. 2006;60:700-708. doi:10.1111/j.1440-1819.2006.01585.x
  10. Stewart IJ, Howard JT, Amuan ME, et al. Traumatic brain injury is associated with the subsequent risk of atrial fibrillation or atrial flutter. Heart Rhythm. 2025;22:661-667. doi:10.1016/j.hrthm.2024.09.019
  11. Cifu DX. Clinical research findings from the long-term impact of military-relevant brain injury consortium-chronic effects of neurotrauma consortium (LIMBIC-CENC) 2013-2021. Brain Inj. 2022;36:587-597.doi:10.1080/02699052.2022.2033843
  12. Fonda JR, Fredman L, Brogly SB, et al. Traumatic brain injury and attempted suicide among veterans of the wars in Iraq and Afghanistan. Am J Epidemiol. 2017;186:220-226. doi:10.1093/aje/kwx044
  13. Fortier CB, Amick MM, Kenna A, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime (BAT-L) clinical interview and the VA TBI screen. J Head Trauma Rehabil. 2015;30:E1-7. doi:10.1097/htr.0000000000000008
  14. Grande LJ, Robinson ME, Radigan LJ, et al. Verbal memory deficits in OEF/OIF/OND veterans exposed to blasts at close range. J Int Neuropsychol Soc. 2018;24:466-475. doi:10.1017/S1355617717001242
  15. Hayes JP, Logue MW, Sadeh N, et al. Mild traumatic brain injury is associated with reduced cortical thickness in those at risk for Alzheimer’s disease. Brain. 2017;140:813-825. doi:10.1093/brain/aww344
  16. Lippa SM, Fonda JR, Fortier CB, et al. Deployment-related psychiatric and behavioral conditions and their association with functional disability in OEF/OIF/OND veterans. J Trauma Stress. 2015;28:25-33. doi:10.1002/jts.21979
  17. McGlinchey RE, Milberg WP, Fonda JR, et al. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudinal prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  18. Radigan LJ, McGlinchey RE, Milberg WP, et al. Correspondence of the Boston Assessment of Traumatic Brain Injury-Lifetime and the VA Comprehensive TBI Evaluation. J Head Trauma Rehabil. 2018;33:E51-E55. doi:10.1097/htr.0000000000000361
  19. Sydnor VJ, Bouix S, Pasternak O, et al. Mild traumatic brain injury impacts associations between limbic system microstructure and post-traumatic stress disorder symptomatology. Neuroimage Clin. 2020;26:102190. doi:10.1016/j.nicl.2020.102190
  20. Van Etten EJ, Knight AR, Colaizzi TA, et al. Peritraumatic context and long-term outcomes of concussion. JAMA Netw Open. 2025;8:e2455622. doi:10.1001/jamanetworkopen.2024.55622
  21. Andrews RJ, Fonda JR, Levin LK, et al. Comprehensive analysis of the predictors of neurobehavioral symptom reporting in veterans. Neurology. 2018;91:e732-e745. doi:10.1212/wnl.0000000000006034
  22. McGlinchey RE, Milberg WP, Fonda JR, Fortier CB. A methodology for assessing deployment trauma and its consequences in OEF/OIF/OND veterans: the TRACTS longitudional prospective cohort study. Int J Methods Psychiatr Res. 2017;26:e1556. doi:10.1002/mpr.1556
  23. Reimers N, Gurevych I. Sentence-BERT: Sentence embeddings using Siamese BERT-Networks. 2019. Conference on Empirical Methods in Natural Language Processing.
  24. Singhal A. Modern information retrieval: a brief overview. IEEE Data Eng Bull. 2001;24:34-43.
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Trauma, Military Fitness, and Eating Disorders

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Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.

Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.

The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale. 

Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.

Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.

Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.

According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.

Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.” 

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Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.

Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.

The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale. 

Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.

Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.

Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.

According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.

Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.” 

Military culture may hold 2 salient risk factors for eating disorders: exposure to trauma and body condition standards. A recent study from the US Department of Veteran Affairs (VA) Salisbury Health Care System (VASHCS) found that veterans with posttraumatic stress disorder (PTSD) are more likely to report eating disturbances—particularly issues related to body dissatisfaction and dissatisfaction with eating habits. A 2019 study found that one-third of veterans who were overweight or obese screened positive for engaging in “making weight” behaviors during military service, or unhealthy weight control strategies. Frequently reported weight management behavior was excessive exercise, fasting/skipping meals, sitting in a sauna/wearing a latex suit, laxatives, diuretics, and vomiting.

Service members who are “normal” weight by civilian standards may be labeled “overweight” by the military. In a March 12 memo, Secretary of Defense Pete Hegseth ordered a US Department of Defense review of existing standards for physical fitness, body composition, and grooming. “Our troops will be fit — not fat. Our troops will look sharp — not sloppy. We seek only quality — not quotas. BOTTOM LINE: our @DeptofDefense will make standards HIGH & GREAT again — across the entire force,” he posted on X.

The desire to control weight to fit military standards, however, isn’t the only risk factor. Researchers at VASHCS surveyed 527 post-9/11 veterans (80.7% male) who typically deployed 1 or 2 times. All participants completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition; the Neuro-Quality of Life in Neurological Disorders Positive Affect and Well-Being Scale (PAWB); and the Eating Disturbances Scale. 

Nearly half (46%) of the sample met diagnostic criteria for a lifetime PTSD diagnosis. The study also reported significantly greater eating disturbances in veterans with a lifetime PTSD diagnosis than those without. Women reported significantly greater eating disturbances than men.

Most participants (80%) reported some level of dissatisfaction with their eating disturbances and 74% of participants reported feeling as if they were too fat.

Eating disturbances include refusing food, overexercising, overeating, and misusing laxatives or diuretic pills. Previous research that suggest that 10% to 15% of female veterans and 4% to 8% of male veterans report clinically significant disordered eating behaviors, especially binge eating. One study found that 78% of 45,477 overweight or obese veterans receiving care in VA facilities reported clinically significant binge eating. In a 2021 study, 254 veterans presenting for routine clinical care completed self‐report questionnaires assessing eating disorders, PTSD, depression, and shame, and 31% met probable criteria for bulimia nervosa, binge‐eating disorder, or purging disorder.

According to a 2023 study, eating disturbances that do not meet diagnostic criteria for a formal disorder can be problematic and may function as coping strategies for some facets of military life. The VASHCS researchers found that interventions focused on PAWB, such as acceptance and commitment therapy or compassion-focused therapy, may have potential as a protective factor. Including components that foster hope, optimism, and personal strength may positively mitigate the relationship between PTSD and eating disturbances. PAWB was significantly correlated with eating disturbances; individuals with a lifetime PTSD diagnosis reported significantly lower PAWB than those without.

Interventions grounded in positive psychology have shown promise. A group-based program found “noticeable” (although nonsignificant) improvements in optimistic thinking and treatment engagement. The study also cites that clinicians are beginning to incorporate positive psychology strategies (eg, gratitude journaling, goal setting, and “best possible self” visualization) as adjuncts to traditional treatments. Positive psychology, they write, holds “significant promise as a complementary approach to enhance recovery outcomes in both PTSD and eating disorders.” 

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'Distress is the Norm': How Oncologists Can Open the Door to Patient Mental Health

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For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

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For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

For patients with cancer, the determining factor in whether they pursue mental health services is often whether their oncologist explicitly says it is a good idea, a psychologist said during the July Association of VA Hematology and Oncology (AVAHO) seminar in Long Beach, California, on treating veterans with renal cell carcinoma (RCC).

Kysa Christie, PhD, of the West Los Angeles Veterans Affairs Medical Center, presented findings from a 2018 study in which researchers asked Swiss patients with cancer whether their oncologist discussed their emotional health with them. 

In terms of boosting intake, it did not matter if oncologists acknowledged distress or pointed out that psychosocial services existed. Instead, a direct recommendation made a difference, increasing the likelihood of using the services over a 4-month period after initial assessment (odds ratio, 6.27).

“What it took was, ‘I really recommend this. This is something that I would want you to try,’” Christie said. 

Oncologists are crucial links between patients and mental health services, Christie said: “If people don’t ask about [distress], you’re not going to see it, but it’s there. Distress is the norm, right? It is not a weakness. It is something that we expect to see.”

Christie noted that an estimated 20% of cancer patients have major depressive disorder, and 35% to 40% have a diagnosable psychiatric condition. RCC shows disproportionately high rates of mental strain. According to Christie, research suggests that about three-fourths of the population report elevated levels of distress as evidenced by patients who scored ≥ 5 on the NCCN Distress Thermometer. Patients with cancer have an estimated 20% higher risk of suicide, especially during the first 12 months after diagnosis and at end of life, she added.

“Early during a diagnosis phase, where you’re having a lot of tests being done, you know something is happening. But you don’t know what,” Christie said. “It could be very serious. That’s just a lot of stress to hold and not know how to plan for.”

After diagnosis, routine could set in and lower distress, she said. Then terminal illness may spike it back up again. Does mental health treatment work in patients with cancer?

“There’s a really strong body of evidence-based treatments for depression, anxiety, adjustment disorders, and coping with different cancers,” Christie said. But it is a step too far to expect patients to ask for help while they are juggling appointments, tests, infusions, and more. “It’s a big ask, right? It’s setting people up for failure.”

To help, Christie said she is embedded with a medical oncology team and routinely talks with the staff about which patients may need help. “One thing I like to do is try to have brief visits with veterans and introduce myself when they come to clinic. I treat it like an opt-out rather than an opt-in program: I’ll just pop into the exam room. They don’t have to ask to see me.”

Christie focuses on open-ended questions and talks about resources ranging from support groups and brief appointments to extensive individual therapy. 

Another approach is a strategy known as the “warm handoff,” when an oncologist directly introduces a patient to a mental health professional. “It’s a transfer of care in front of the veteran: It’s much more time-efficient than putting in a referral.”

Christie explained how this can work. A clinician will ask her to meet with a patient during an appointment, perhaps in a couple minutes.

“Then I pop into the room, and the oncologist says, ‘Thanks for joining us. This is Mr. Jones. He has been experiencing feelings of anxiety and sadness, and we’d appreciate your help in exploring some options that might help.’  I turn to the patient and ask, ‘What more would you add?’ Then I either take Mr. Jones back to my office or stay in clinic, and we’re off to the races.”

Christie reported no disclosures.

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Young Adults With Suicidal Ideation: Who Reaches Out by Texting for Help and Why Do Others Hold Back?

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Young Adults With Suicidal Ideation: Who Reaches Out by Texting for Help and Why Do Others Hold Back?

TOPLINE:

Among young adults with suicidal ideation, factors associated with the use of crisis text services were female sex, minoritized sexual orientation, engagement with a mental health provider, and prior hospitalizations. Participants who never texted crisis lines faced barriers such as doubts about effectiveness and embarrassment.

METHODOLOGY:

  • Researchers conducted a cross-sectional survey study in Oregon from August to December 2023 to identify characteristics linked to the use of crisis text services and barriers to use in young adults aged 18-24 years with suicidal ideation and financial stress.
  • Overall, 118 participants were recruited through community partners and social media advertisements; 76% of them identified having a minoritized gender or sexual orientation.
  • Participants completed an online survey with 38 closed-ended and two open-ended items, including questions about hospitalizations for suicidal thoughts, suicide attempts, mental health provider status, service use, decision-making factors for contacting crisis lines, and barriers preventing the use of the service.
  • Differences in demographic and health care characteristics between those who had ever texted crisis lines and those who had never were examined.

TAKEAWAY:

  • When asked about disclosing suicidal ideation, participants most frequently told no one (69%), told a friend/boyfriend/girlfriend (64%), and texted/chatted with a crisis line (47%).
  • Female sex (P = .019) and having a minoritized sexual orientation (P = .048) were significantly associated with the use of crisis text services, whereas minoritized gender status, race, and urbanicity showed no significant association. Having a mental health provider correlated with the use of crisis text services (P = .010), as did prior hospitalization for suicidal ideation or suicide attempt (P = .003).
  • Participants who had ever texted crisis lines (n = 55) most often reported using crisis text services because they had no one else to talk to (78%), felt like a burden to others (71%), and preferred anonymity (65%).
  • Among 63 participants who never texted crisis lines, 84% had heard of crisis text services but chose not to use them; key reasons for not texting included believing it would not help (46%), embarrassment (41%), and preferring to solve the problem independently (35%).

IN PRACTICE:

"[The study findings] highlight that unique outreach efforts may be necessary to engage young adults reluctant to seek support," the authors wrote, further suggesting that "local and national lines could benefit from improved conversational quality within CTS [crisis text services], possibly including enhanced training for counselors to increase the personalization of counseling and sensitivity to texters' situations."

SOURCE:

The study was led by Kate LaForge, PhD, MPH, of the Center to Improve Veteran Involvement in Care at the VA Portland Healthcare System in Portland, Oregon. It was published online on March 13, 2026, in the Journal of Adolescent Health.

LIMITATIONS:

The cross-sectional design did not allow for determining causal relationships between healthcare characteristics and the use of the crisis text service. Relying on self-reported data may have introduced recall bias. The severity of suicidal ideation was not measured, and the sample size was small.

DISCLOSURES:

The research was supported by the Office of Academic Affiliations and the Office of Research and Development Health Systems Research Service, US Department of Veterans Affairs. Some authors reported being supported by various sources, including the Agency for Healthcare Research & Quality, National Institute on Drug Abuse, or Department of Veterans Affairs Health Systems Research, and one of them reported being a paid consultant for Google Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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TOPLINE:

Among young adults with suicidal ideation, factors associated with the use of crisis text services were female sex, minoritized sexual orientation, engagement with a mental health provider, and prior hospitalizations. Participants who never texted crisis lines faced barriers such as doubts about effectiveness and embarrassment.

METHODOLOGY:

  • Researchers conducted a cross-sectional survey study in Oregon from August to December 2023 to identify characteristics linked to the use of crisis text services and barriers to use in young adults aged 18-24 years with suicidal ideation and financial stress.
  • Overall, 118 participants were recruited through community partners and social media advertisements; 76% of them identified having a minoritized gender or sexual orientation.
  • Participants completed an online survey with 38 closed-ended and two open-ended items, including questions about hospitalizations for suicidal thoughts, suicide attempts, mental health provider status, service use, decision-making factors for contacting crisis lines, and barriers preventing the use of the service.
  • Differences in demographic and health care characteristics between those who had ever texted crisis lines and those who had never were examined.

TAKEAWAY:

  • When asked about disclosing suicidal ideation, participants most frequently told no one (69%), told a friend/boyfriend/girlfriend (64%), and texted/chatted with a crisis line (47%).
  • Female sex (P = .019) and having a minoritized sexual orientation (P = .048) were significantly associated with the use of crisis text services, whereas minoritized gender status, race, and urbanicity showed no significant association. Having a mental health provider correlated with the use of crisis text services (P = .010), as did prior hospitalization for suicidal ideation or suicide attempt (P = .003).
  • Participants who had ever texted crisis lines (n = 55) most often reported using crisis text services because they had no one else to talk to (78%), felt like a burden to others (71%), and preferred anonymity (65%).
  • Among 63 participants who never texted crisis lines, 84% had heard of crisis text services but chose not to use them; key reasons for not texting included believing it would not help (46%), embarrassment (41%), and preferring to solve the problem independently (35%).

IN PRACTICE:

"[The study findings] highlight that unique outreach efforts may be necessary to engage young adults reluctant to seek support," the authors wrote, further suggesting that "local and national lines could benefit from improved conversational quality within CTS [crisis text services], possibly including enhanced training for counselors to increase the personalization of counseling and sensitivity to texters' situations."

SOURCE:

The study was led by Kate LaForge, PhD, MPH, of the Center to Improve Veteran Involvement in Care at the VA Portland Healthcare System in Portland, Oregon. It was published online on March 13, 2026, in the Journal of Adolescent Health.

LIMITATIONS:

The cross-sectional design did not allow for determining causal relationships between healthcare characteristics and the use of the crisis text service. Relying on self-reported data may have introduced recall bias. The severity of suicidal ideation was not measured, and the sample size was small.

DISCLOSURES:

The research was supported by the Office of Academic Affiliations and the Office of Research and Development Health Systems Research Service, US Department of Veterans Affairs. Some authors reported being supported by various sources, including the Agency for Healthcare Research & Quality, National Institute on Drug Abuse, or Department of Veterans Affairs Health Systems Research, and one of them reported being a paid consultant for Google Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

TOPLINE:

Among young adults with suicidal ideation, factors associated with the use of crisis text services were female sex, minoritized sexual orientation, engagement with a mental health provider, and prior hospitalizations. Participants who never texted crisis lines faced barriers such as doubts about effectiveness and embarrassment.

METHODOLOGY:

  • Researchers conducted a cross-sectional survey study in Oregon from August to December 2023 to identify characteristics linked to the use of crisis text services and barriers to use in young adults aged 18-24 years with suicidal ideation and financial stress.
  • Overall, 118 participants were recruited through community partners and social media advertisements; 76% of them identified having a minoritized gender or sexual orientation.
  • Participants completed an online survey with 38 closed-ended and two open-ended items, including questions about hospitalizations for suicidal thoughts, suicide attempts, mental health provider status, service use, decision-making factors for contacting crisis lines, and barriers preventing the use of the service.
  • Differences in demographic and health care characteristics between those who had ever texted crisis lines and those who had never were examined.

TAKEAWAY:

  • When asked about disclosing suicidal ideation, participants most frequently told no one (69%), told a friend/boyfriend/girlfriend (64%), and texted/chatted with a crisis line (47%).
  • Female sex (P = .019) and having a minoritized sexual orientation (P = .048) were significantly associated with the use of crisis text services, whereas minoritized gender status, race, and urbanicity showed no significant association. Having a mental health provider correlated with the use of crisis text services (P = .010), as did prior hospitalization for suicidal ideation or suicide attempt (P = .003).
  • Participants who had ever texted crisis lines (n = 55) most often reported using crisis text services because they had no one else to talk to (78%), felt like a burden to others (71%), and preferred anonymity (65%).
  • Among 63 participants who never texted crisis lines, 84% had heard of crisis text services but chose not to use them; key reasons for not texting included believing it would not help (46%), embarrassment (41%), and preferring to solve the problem independently (35%).

IN PRACTICE:

"[The study findings] highlight that unique outreach efforts may be necessary to engage young adults reluctant to seek support," the authors wrote, further suggesting that "local and national lines could benefit from improved conversational quality within CTS [crisis text services], possibly including enhanced training for counselors to increase the personalization of counseling and sensitivity to texters' situations."

SOURCE:

The study was led by Kate LaForge, PhD, MPH, of the Center to Improve Veteran Involvement in Care at the VA Portland Healthcare System in Portland, Oregon. It was published online on March 13, 2026, in the Journal of Adolescent Health.

LIMITATIONS:

The cross-sectional design did not allow for determining causal relationships between healthcare characteristics and the use of the crisis text service. Relying on self-reported data may have introduced recall bias. The severity of suicidal ideation was not measured, and the sample size was small.

DISCLOSURES:

The research was supported by the Office of Academic Affiliations and the Office of Research and Development Health Systems Research Service, US Department of Veterans Affairs. Some authors reported being supported by various sources, including the Agency for Healthcare Research & Quality, National Institute on Drug Abuse, or Department of Veterans Affairs Health Systems Research, and one of them reported being a paid consultant for Google Health. The authors declared having no conflicts of interest.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.

A version of this article first appeared on Medscape.com.

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Young Adults With Suicidal Ideation: Who Reaches Out by Texting for Help and Why Do Others Hold Back?

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Drone Warfare May Raise New Mental Health Concerns

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At the 24th edition of the L’Encéphale Congress, a psychiatry conference held in Paris, France, speakers discussed how the growing use of drones has become a defining feature of modern warfare and how these technologies may affect the mental health of both combatants and civilian populations. The topic was addressed during a session on war psychiatry.

The growing integration of drones into military operations is transforming the conduct of modern warfare and raising new concerns about the mental health effects on soldiers and civilian populations.

“In the age of drones, a new era of warfare has begun,” said Marie Dominique Colas, MD, a psychiatrist, and general practitioner at Military Teaching Hospital Sainte Anne in Toulon, France, speaking during a session on war.

The conflict following the Russian invasion of Ukraine illustrates this change. Drones are now widely used across multiple tactical levels for reconnaissance, surveillance, and attacks. According to Colas, this is the first high-intensity conflict in which these systems have been deployed on a large scale, primarily to destroy targets and cause casualties, rather than to eliminate specific identified individuals, which had been more typical in earlier operations in the Sahel or Afghanistan.

Combat Experience

The characteristics of drones, particularly their observation capabilities and ease of operation, have been gamechangers on the battlefield.

“The widespread use of drones has changed the subjective experience of combat,” said Emeric Saguin, MD, a psychiatrist in the Department of Psychiatry at the Begin Military Teaching Hospital, Saint-Mandé, France.

These miniaturized, stealthy, and often undetectable weapons have made battlefields increasingly transparent. “In Ukraine, enemy observation is almost constant for several kilometers behind the front line, creating a persistent sense of vulnerability and limiting medical care to basic first aid provided by fellow soldiers,” said Saguin.

The nature of these attacks has changed. “Gunshot wounds have become almost anecdotal. In Ukraine, more than 90% of attacks are caused by artillery and drones,” he added. Therefore, mental health specialists are increasingly examining how the constant threat posed by these weapons may affect psychological functioning, both individually and within groups.

Psychological Effects

Beyond their destructive capacity, drones are estimated to account for approximately 50% of casualties, and they can affect the morale of both opposing forces and civilian populations. Therefore, these precision weapons act as powerful tools for psychological attrition.

Clinically, “what predominates is not so much the traumatic impact of an isolated event as the repetition of exposures and the lack of recovery, leading to cumulative fatigue,” Saguin said. In his view, the clinical patterns observed are “less the result of a single shock than of a process of cumulative erosion.”

A key question raised by specialists is whether the widespread use of drones could lead to new clinical forms of war-related psychological disorders among drone operators.

Although drone operators remain physically distant from combat zones, they are not immune to the psychological effects of warfare. “Nearly half of drone operators show signs of psychological distress, primarily anxiety, which can affect both professional functioning and family life,” said Cécile Gorin, a senior psychiatrist at the Hôpital d’Instruction des Armées Sainte-Anne in Toulon, France. Greater vulnerability to emotional disengagement, posttraumatic stress disorder (PTSD), and burnout among drone operators has been linked to specific working conditions, including prolonged periods of intense vigilance, repeated exposure to detailed combat footage, and direct involvement in lethal decision-making.

“Exposure to images of destruction, particularly when civilians are affected by bombings, is a major risk factor for developing PTSD among these operators,” Gorin stated. A study analyzing drone operators found that 45.7% presented at least one psychological symptom, such as alcohol consumption, sleep disturbances, or anxiety. PTSD was identified with 2.9% of participants. However, according to the available literature, the prevalence of PTSD among drone operators may range from 5% to 10%, lower than among combatants deployed on the ground, where rates can reach up to 35%, Gorin noted.

The repeated and large-scale use of drones, including swarms and single-use devices, affects both civilians and combatants. This persistent threat can disrupt daily life and economic activity while creating a climate of constant uncertainty.

“The permanent, diffuse, and inescapable threat alters temporal and spatial reference points and fosters isolation,” Gorin explained. Prolonged exposure to such conditions can contribute to collective trauma, characterized by generalized anxiety, depressive episodes, erosion of social ties, and declining trust in institutions responsible for maintaining security.

Civilian populations living under continuous drone surveillance may also change their behavior patterns. Studies conducted among Afghan populations during wartime have described a phenomenon of self-objectification linked to constant surveillance and unpredictable strikes. In the context of chronic psychological insecurity, civilians gradually modified their behavior, particularly in social settings, avoiding gatherings, and adjusting daily activities to reduce the risk of being perceived as a threat.

Although the available data remain limited, similar patterns have emerged in Ukraine. A recent study on parents of Ukrainian children exposed to war conditions reported increased anxiety in 35% of respondents and sadness in 25%, along with behavioral problems and attention difficulties in approximately 25% of children.

This story was translated from Medscape’s French edition.

A version of this article first appeared on Medscape.com.

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At the 24th edition of the L’Encéphale Congress, a psychiatry conference held in Paris, France, speakers discussed how the growing use of drones has become a defining feature of modern warfare and how these technologies may affect the mental health of both combatants and civilian populations. The topic was addressed during a session on war psychiatry.

The growing integration of drones into military operations is transforming the conduct of modern warfare and raising new concerns about the mental health effects on soldiers and civilian populations.

“In the age of drones, a new era of warfare has begun,” said Marie Dominique Colas, MD, a psychiatrist, and general practitioner at Military Teaching Hospital Sainte Anne in Toulon, France, speaking during a session on war.

The conflict following the Russian invasion of Ukraine illustrates this change. Drones are now widely used across multiple tactical levels for reconnaissance, surveillance, and attacks. According to Colas, this is the first high-intensity conflict in which these systems have been deployed on a large scale, primarily to destroy targets and cause casualties, rather than to eliminate specific identified individuals, which had been more typical in earlier operations in the Sahel or Afghanistan.

Combat Experience

The characteristics of drones, particularly their observation capabilities and ease of operation, have been gamechangers on the battlefield.

“The widespread use of drones has changed the subjective experience of combat,” said Emeric Saguin, MD, a psychiatrist in the Department of Psychiatry at the Begin Military Teaching Hospital, Saint-Mandé, France.

These miniaturized, stealthy, and often undetectable weapons have made battlefields increasingly transparent. “In Ukraine, enemy observation is almost constant for several kilometers behind the front line, creating a persistent sense of vulnerability and limiting medical care to basic first aid provided by fellow soldiers,” said Saguin.

The nature of these attacks has changed. “Gunshot wounds have become almost anecdotal. In Ukraine, more than 90% of attacks are caused by artillery and drones,” he added. Therefore, mental health specialists are increasingly examining how the constant threat posed by these weapons may affect psychological functioning, both individually and within groups.

Psychological Effects

Beyond their destructive capacity, drones are estimated to account for approximately 50% of casualties, and they can affect the morale of both opposing forces and civilian populations. Therefore, these precision weapons act as powerful tools for psychological attrition.

Clinically, “what predominates is not so much the traumatic impact of an isolated event as the repetition of exposures and the lack of recovery, leading to cumulative fatigue,” Saguin said. In his view, the clinical patterns observed are “less the result of a single shock than of a process of cumulative erosion.”

A key question raised by specialists is whether the widespread use of drones could lead to new clinical forms of war-related psychological disorders among drone operators.

Although drone operators remain physically distant from combat zones, they are not immune to the psychological effects of warfare. “Nearly half of drone operators show signs of psychological distress, primarily anxiety, which can affect both professional functioning and family life,” said Cécile Gorin, a senior psychiatrist at the Hôpital d’Instruction des Armées Sainte-Anne in Toulon, France. Greater vulnerability to emotional disengagement, posttraumatic stress disorder (PTSD), and burnout among drone operators has been linked to specific working conditions, including prolonged periods of intense vigilance, repeated exposure to detailed combat footage, and direct involvement in lethal decision-making.

“Exposure to images of destruction, particularly when civilians are affected by bombings, is a major risk factor for developing PTSD among these operators,” Gorin stated. A study analyzing drone operators found that 45.7% presented at least one psychological symptom, such as alcohol consumption, sleep disturbances, or anxiety. PTSD was identified with 2.9% of participants. However, according to the available literature, the prevalence of PTSD among drone operators may range from 5% to 10%, lower than among combatants deployed on the ground, where rates can reach up to 35%, Gorin noted.

The repeated and large-scale use of drones, including swarms and single-use devices, affects both civilians and combatants. This persistent threat can disrupt daily life and economic activity while creating a climate of constant uncertainty.

“The permanent, diffuse, and inescapable threat alters temporal and spatial reference points and fosters isolation,” Gorin explained. Prolonged exposure to such conditions can contribute to collective trauma, characterized by generalized anxiety, depressive episodes, erosion of social ties, and declining trust in institutions responsible for maintaining security.

Civilian populations living under continuous drone surveillance may also change their behavior patterns. Studies conducted among Afghan populations during wartime have described a phenomenon of self-objectification linked to constant surveillance and unpredictable strikes. In the context of chronic psychological insecurity, civilians gradually modified their behavior, particularly in social settings, avoiding gatherings, and adjusting daily activities to reduce the risk of being perceived as a threat.

Although the available data remain limited, similar patterns have emerged in Ukraine. A recent study on parents of Ukrainian children exposed to war conditions reported increased anxiety in 35% of respondents and sadness in 25%, along with behavioral problems and attention difficulties in approximately 25% of children.

This story was translated from Medscape’s French edition.

A version of this article first appeared on Medscape.com.

At the 24th edition of the L’Encéphale Congress, a psychiatry conference held in Paris, France, speakers discussed how the growing use of drones has become a defining feature of modern warfare and how these technologies may affect the mental health of both combatants and civilian populations. The topic was addressed during a session on war psychiatry.

The growing integration of drones into military operations is transforming the conduct of modern warfare and raising new concerns about the mental health effects on soldiers and civilian populations.

“In the age of drones, a new era of warfare has begun,” said Marie Dominique Colas, MD, a psychiatrist, and general practitioner at Military Teaching Hospital Sainte Anne in Toulon, France, speaking during a session on war.

The conflict following the Russian invasion of Ukraine illustrates this change. Drones are now widely used across multiple tactical levels for reconnaissance, surveillance, and attacks. According to Colas, this is the first high-intensity conflict in which these systems have been deployed on a large scale, primarily to destroy targets and cause casualties, rather than to eliminate specific identified individuals, which had been more typical in earlier operations in the Sahel or Afghanistan.

Combat Experience

The characteristics of drones, particularly their observation capabilities and ease of operation, have been gamechangers on the battlefield.

“The widespread use of drones has changed the subjective experience of combat,” said Emeric Saguin, MD, a psychiatrist in the Department of Psychiatry at the Begin Military Teaching Hospital, Saint-Mandé, France.

These miniaturized, stealthy, and often undetectable weapons have made battlefields increasingly transparent. “In Ukraine, enemy observation is almost constant for several kilometers behind the front line, creating a persistent sense of vulnerability and limiting medical care to basic first aid provided by fellow soldiers,” said Saguin.

The nature of these attacks has changed. “Gunshot wounds have become almost anecdotal. In Ukraine, more than 90% of attacks are caused by artillery and drones,” he added. Therefore, mental health specialists are increasingly examining how the constant threat posed by these weapons may affect psychological functioning, both individually and within groups.

Psychological Effects

Beyond their destructive capacity, drones are estimated to account for approximately 50% of casualties, and they can affect the morale of both opposing forces and civilian populations. Therefore, these precision weapons act as powerful tools for psychological attrition.

Clinically, “what predominates is not so much the traumatic impact of an isolated event as the repetition of exposures and the lack of recovery, leading to cumulative fatigue,” Saguin said. In his view, the clinical patterns observed are “less the result of a single shock than of a process of cumulative erosion.”

A key question raised by specialists is whether the widespread use of drones could lead to new clinical forms of war-related psychological disorders among drone operators.

Although drone operators remain physically distant from combat zones, they are not immune to the psychological effects of warfare. “Nearly half of drone operators show signs of psychological distress, primarily anxiety, which can affect both professional functioning and family life,” said Cécile Gorin, a senior psychiatrist at the Hôpital d’Instruction des Armées Sainte-Anne in Toulon, France. Greater vulnerability to emotional disengagement, posttraumatic stress disorder (PTSD), and burnout among drone operators has been linked to specific working conditions, including prolonged periods of intense vigilance, repeated exposure to detailed combat footage, and direct involvement in lethal decision-making.

“Exposure to images of destruction, particularly when civilians are affected by bombings, is a major risk factor for developing PTSD among these operators,” Gorin stated. A study analyzing drone operators found that 45.7% presented at least one psychological symptom, such as alcohol consumption, sleep disturbances, or anxiety. PTSD was identified with 2.9% of participants. However, according to the available literature, the prevalence of PTSD among drone operators may range from 5% to 10%, lower than among combatants deployed on the ground, where rates can reach up to 35%, Gorin noted.

The repeated and large-scale use of drones, including swarms and single-use devices, affects both civilians and combatants. This persistent threat can disrupt daily life and economic activity while creating a climate of constant uncertainty.

“The permanent, diffuse, and inescapable threat alters temporal and spatial reference points and fosters isolation,” Gorin explained. Prolonged exposure to such conditions can contribute to collective trauma, characterized by generalized anxiety, depressive episodes, erosion of social ties, and declining trust in institutions responsible for maintaining security.

Civilian populations living under continuous drone surveillance may also change their behavior patterns. Studies conducted among Afghan populations during wartime have described a phenomenon of self-objectification linked to constant surveillance and unpredictable strikes. In the context of chronic psychological insecurity, civilians gradually modified their behavior, particularly in social settings, avoiding gatherings, and adjusting daily activities to reduce the risk of being perceived as a threat.

Although the available data remain limited, similar patterns have emerged in Ukraine. A recent study on parents of Ukrainian children exposed to war conditions reported increased anxiety in 35% of respondents and sadness in 25%, along with behavioral problems and attention difficulties in approximately 25% of children.

This story was translated from Medscape’s French edition.

A version of this article first appeared on Medscape.com.

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Mental Health Prescribers’ Perceptions of Patients With Substance Use Disorders and Harm Reduction Services

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Mental Health Prescribers’ Perceptions of Patients With Substance Use Disorders and Harm Reduction Services

The Public Health and Welfare Act of 1988 prohibited the use of federal funds to “provide individuals with hypodermic needles or syringes so that such individuals may use illegal drugs.”1 Although the Act included the caveat that the US Surgeon General may determine that “a demonstration needle exchange program would be effective in reducing drug abuse,” and thus federal funds could be used, the legislation prohibited federal, state, and local agencies from funding syringe services programs (SSPs). SSPs use various harm reduction tools to improve public safety and reduce the potential harmful consequences of risky behaviors, similar to how using a seat belt while driving reduces the risk of injury or death.2 SSPs are rooted in evidence-based practices, and several studies, according to the Centers for Disease Control and Prevention, have found that people who use drugs (PWUDs) who use community-based SSPs are 5 times more likely to enter treatment than those who do not use these programs. Additionally, these programs have shown an estimated 50% reduction in HIV and hepatitis C infections.3

Amid a 2015 HIV outbreak in Indiana among individuals sharing needles for injection drug use, Congress passed an omnibus spending bill that partially lifted the federal funding restriction. Federal funds now may be used for operational costs that support SSPs but may not be used to purchase syringes themselves.4

Following the 2015 legislation, federal agencies began implementing SSPs. The Veterans Health Administration (VHA) established SSPs at 3 medical centers in 2017.5 Veterans who participated in the programs were able to access supplies (eg, syringes, fentanyl test strips, wound care kits, and condoms) through donations to US Department of Veterans Affairs (VA) medical centers (VAMCs). The success of these programs laid the foundation for the VHA to implement SSPs nationally. VHA SSPs provided access to naloxone (an opioid overdose reversal medication), fentanyl test strips, condoms, sterile syringe distribution, testing for blood-borne viruses, HIV pre-exposure prophylaxis, as well as educational materials and resources, and low-barrier access to drug treatment (eg, medications for opioid use disorder [OUD]).

In 2020, the Biden Administration outlined 7 drug policy priorities, which included enhancing evidence-based harm reduction efforts. 6 This policy also discussed mandates for federal agencies to remove barriers to federal funding for purchasing syringes and other harm reduction supplies. The VHA responded to the policy by publishing guidance that recommended VAMCs develop and/or ensure veterans have access to harm reduction services in the community, where state law is not legally more stringent.7

In 2025 the Trump administration Statement of Drug Policy Priorities encouraged local jurisdictions to increase the availability of drug test strips and naloxone.8 These significant policy shifts moved SSPs from being housed mostly in local public health departments and community-based organizations to also being available at health care facilities. 9 VAMCs have unique opportunities to provide universal health care that includes both prevention services and other medical management to PWUD.

One study assessed staff perceptions of PWUD at a VAMC in preparation for a training program about harm reduction. The results indicated an overall positive staff perception of PWUD, although only the Drug and Drug Problems Perceptions Questionnaire (DDPPQ) was administered, which assessed comfort of working with this population and not explicitly the use of harm reduction.10 Another study interviewed clinical pharmacists, primary care clinicians, social workers, and directors of addiction and mental health services to determine barriers and facilitators (ie, potential opportunities to promote change) to implementing harm reduction at the VHA. The study identified barriers to be a lack of knowledge, time, and comfort, while suggesting opportunities for improvement were engagement of champions, communication and educational strategies, and adaptation of existing infrastructure.11

While these findings are insightful for the VHA to disseminate a harm reduction program, there remains a gap in assessing staff willingness to provide harm reduction services. Evidence on harm reduction services among veterans is limited and more research is needed to better understand the role of these services and acceptance among enrolled veterans and VHA staff. Specifically, more research is needed on health care practitioners’ (HCPs) perceptions of harm reduction use.

Mental health care practitioners frequently treat patients with substance use disorders (SUDs), making them an ideal initial cohort to assess willingness to provide harm reduction to this population. By analyzing mental HCPs’ perceptions, additional interventions could be identified, implemented, and evaluated to improve their willingness to provide harm reduction tools.

This project focused on mental health clinicians with prescribing privileges: physicians (allopathic and osteopathic physicians), nurse practitioners, physician assistants, and clinical pharmacist practitioners. Mental health prescribers were selected because they are uniquely positioned at the intersection of prevention and treatment in drug use. Furthermore, mental health prescribers at the VAMCs included in this study are usually the primary point of entry to SUD clinics. This mixed-methods study used an anonymous online survey and voluntary postsurvey discussions with mental health care prescribers to elaborate on their beliefs and attitudes, providing deeper insight into their responses regarding harm reduction.

Methods

This project was conducted by the Veterans Integrated Services Network (VISN) 5 academic detailing team. VISN 5 serves veterans from economically and demographically diverse areas in Maryland; Washington, DC; West Virginia; and portions of Virginia, Pennsylvania, Ohio, and Kentucky. VAMCs in Baltimore, Maryland, and Washington, DC, serve a largely urban population while the 4 West Virginia facilities in Martinsburg, Huntington, Beckley, and Clarksburg, serve a largely rural population. West Virginia has been the epicenter of the opioid crisis and consistently has the highest drug overdose deaths per capita in the United States.12 Among cities, Baltimore, Maryland, has the highest number of drug overdose deaths per capita with 174.1 per 100,000 people.12,13

At the time of this project, the 6 VISN 5 VAMCs had established overdose education and naloxone distribution (OEND) programs. Although OEND programs have existed since 2013, VISN 5 SSPs and harm reduction services that provided fentanyl test strips were only available at the Martinsburg, Beckley, and Huntington VAMCs. All 6 VAMCs had substance use treatment programs with a variety of inpatient and outpatient mental health services. The Washington, DC and Baltimore VAMCs had opioid treatment programs that provided methadone maintenance.

The VISN 5 academic detailing team consists of 7 clinical pharmacists. These academic detailers plan annual systematic interventions to provide medical knowledge translation services on health-related campaigns. Academic detailers are trained in change management and motivational interviewing. They uniquely facilitate conversations with HCPs on various topics or campaigns, aiming for quality improvement and behavioral change through positive relationships and sharing resources.14 Academic detailing conversations and relationships with HCPs involve assessing and understanding HCP behaviors, including barriers and readiness to change to align with the goal of improving patient outcomes. Academic detailing has improved practice behaviors around providing OEND in VHA.15

To prepare for a harm reduction campaign, the academic detailers sought to gain insight from target VISN 5 mental health prescribers. Figure 1 outlines the project timeline, which started with emails inviting mental health prescribers to complete an anonymous online survey. Academic detailers from each site emailed mental health prescribers who completed the survey to determine interest in expanding on survey findings. Mental health prescribers who completed the survey could participate in a postsurvey discussion.

0226FED_eHarm_F1

Surveys

Between January 29, 2024, and February 22, 2024, the academic detailers emailed facility mental health prescribers (N = 156) a link to an anonymous 15-question survey. The email informed recipients of the survey’s purpose: to gain a better understanding of prescriber perceptions of veterans with SUD and harm reduction programs and their willingness to provide harm reduction tools, to better determine interventions that could be implemented.

The survey collected prescriber demographic data and their perceptions of PWUD and harm reduction tools and education. Survey questions were extrapolated from validated surveys (eg, DDPPQ) and survey-based implicit association test.16,17 The survey used multiple choice and 5-point Likert scale questions. Mental health prescribers were asked about their role at the VHA, years in practice, medical center affiliation, type of SUDs treated (eg, opioid, stimulant, alcohol, cannabis, or other), and whether they had previously met with academic detailers about harm reduction.

Respondents read statements about patients with or without SUD and provided Likert scale responses describing their regard, level of comfort, and preferences. The survey included Likert scale questions about respondents’ comfort in providing harm reduction education and supplies. Respondents also noted whether they believed harm reduction reduced substance use, harm reduction tools encourage people with SUD to continue using drugs, and whether HCPs can impact clinical change.

Postsurvey interviews with predetermined questions were conducted in-person or via video conference with ≥ 1 prescriber at each VAMC by an academic detailer. The postsurvey discussion offered an opportunity for respondents to further elaborate and describe previous experiences and current beliefs that may affect their attitudes toward people with SUD and their views on harm reduction. Participants received no compensation for survey completion or interviews.

Analysis

The Washington VAMC Institutional Review Board reviewed and approved this project as quality improvement with potential publication. No inferential statistics were calculated. Survey participant demographics were reported using frequencies and proportions reported for categorical variables. Notes from follow-up interviews were analyzed using the Prosci Awareness, Desire, Knowledge, Ability, and Reinforcement (ADKAR) Model for Change Management.18 This framework is used by academic detailers to determine a prescriber’s stage of change, which helps select the appropriate resources to move the clinician along a change framework. Completed postsurvey interview sheets, including notes written by the academic detailer, were analyzed by the project lead (NJ) who reviewed each interview sheet and analysis with the academic detailer who led the discussion.

Results

Sixty-six respondents completed the online survey (42% response rate), and 7 mental health prescribers participated in a postsurvey discussion. Thirty-one participants (47%) were physicians and 17 (26%) were in practice for > 20 years. Response rates reflected the size of mental health staff at each VAMC at the time of the survey: 17 respondents (26%) worked at each of the Martinsburg and Baltimore VAMCs, with fewer at the other VAMCs (Table 1). Alcohol use disorder was the most commonly reported SUD treated (n = 62; 33%), followed by cannabis use disorder (n = 40; 21%), OUD (n = 38; 20%), and stimulant use disorder (n = 37; 20%).

0226FED_eHarm_T1

Respondents felt comfortable and confident educating patients on ways to reduce harm related to substance use (91%; mean [SD], 4.24 [0.84]). Most prescribers surveyed (97%; mean [SD], 1.59 [0.68]) disagreed or strongly disagreed that harm reduction encourages patients with SUD to continue using drugs, and all prescribers surveyed disagreed that there is nothing they can do to encourage harm reduction. Survey results were mixed for personal comfort in working with people with SUD vs people without SUD (Figure 2). Respondents were most willing to provide naloxone (95%; mean [SD], 4.71 [0.78]), compared to fentanyl test strips (61%; mean [SD], 3.61 [1.41]) or syringes (39%; mean [SD], 3.18 [1.39]). Respondents were neutral or least willing to provide syringes (Figure 3).

0226FED_eHarm_F20226FED_eHarm_F3

Seven postsurvey interviews were completed between academic detailers and mental health clinicians across the 6 VAMCs. Respondents included 1 physician assistant, 1 nurse practitioner, 1 pharmacist, and 4 physicians. Notes were analyzed using the ADKAR Change Competency Model to organize clinician stages of change (Table 2).

0226FED_eHarm_T2

Barriers identified by interviewees included lack of mobile services, lack of confidence and awareness of the availability of harm reduction at their respective medical center, lack of time to discuss harm reduction, negative sentiments toward providing SUD-related harm reduction, discomfort with harm reduction products, and lack of knowledge and time to learn about harm reduction services. Opportunities identified to drive change in practice included additional time allotted during patient appointments, educational discussions and presentations to increase knowledge of and comfort with harm reduction tools, a clear clinical patient care workflow and process for harm reduction services, and reinforcement strategies to recognize success.

Discussion

This project investigated mental health prescribers’ perceptions of harm reduction at VAMCs in West Virginia, Maryland, and Washington, DC. While previous studies have demonstrated the efficacy of harm reduction tools, there is a lack of research on HCPs willingness to use these resources. This study suggests that while most respondents feel confident in and see the value of offering harm reduction resources to patients, a disparity exists between which resources HCPs are more likely to use and factors that would further enhance their ability to integrate harm reduction into practice. The follow-up interviews provided additional insight into the survey results.

Most respondents met the awareness and desire stage and moved to the knowledge, ability, or reinforcement ADKAR stage. It would be reasonable to extrapolate that most of the respondents felt comfortable with and were very likely to offer certain harm reduction tools. In the ADKAR interview analysis, the most common factors needed to drive change included having more time during patient appointments, additional education, clear processes for harm reduction services, and reinforcement strategies to sustain change. Respondents noted that harm reduction discussions took extra time in their already limited appointments with patients, which may have limited time for discussions surrounding all other mental health concerns. These discussions often necessitate in-depth conversations to accurately understand the patients’ needs. Given HCP time constraints, they may view harm reduction as lower in urgency and priority relative to other concerns. While most respondents were in the reinforcement phase, it is important to note the ADKAR model is fluid, and therefore an HCP could move forward or backward. This movement can be noted in the postsurvey interviews where, for example, prescriber 6 was determined to be in the reinforcement stage since they had already discussed harm reduction with patients. However, prescriber 6 also noted a barrier of unfamiliarity with local laws, which could shift them to the ADKAR knowledge stage.

Respondents noted that education through didactic sessions could lead to better incorporation of harm reduction into patient care. While harm reduction has evidence supporting its effectiveness, the respondents noted willingness to discuss harm reduction when treatment fails or the patient refuses treatment or referrals. Respondents expressed mixed opinions on use of harm reduction tools among patients with SUDs as some prescribers viewed harm reduction as part of a treatment plan and others viewed a return to drug use as a failure of treatment. Furthermore, respondents expressed hesitancy surrounding certain harm reduction tools, such as fentanyl test strips or syringes, and perceived these supplies as intended for medical use rather than harm reduction. HCPs may feel uncomfortable offering these supplies for drug use, despite their use for reducing risk.

Most responses were received from VAMCs with large mental health substance use programs. Respondents at larger, urban facilities (Washington, DC, and Baltimore, Maryland) expressed more hesitancy around using harm reduction tools despite having more harm reduction resources available compared to smaller or rural sites. These results align with previous studies that found no difference in prescribers providing medications for OUD in rural and urban VAMCs, showing urban sites, despite more resources, are not more willing to provide harm reduction or other addiction services.19 This evidence might indicate that urban sites may not use available resources (eg, methadone clinics) or that rural sites can provide just as robust medications for OUD care as urban sites.

Follow-up interview analysis indicated that HCPs lack knowledge of certain harm reduction tools. One-on-one peer discussions, like academic detailing, can facilitate discussions around a prescriber’s role in harm reduction, address gaps in knowledge by sharing what is available at the facilities for harm reduction, and suggest conversation points to help prescribers start harm reduction discussions with patients unwilling to begin treatment. Additionally, academic detailing can connect prescribers to available resources in the community to provide pragmatic approaches and suggestions. A clear and consistent treatment process may reduce barriers by reassuring prescribers they have support and by providing consistent directions so that prescribers do not waste time.

Reinforcement is important for sustaining change. VAMCs could consider positive feedback and other evidence-based reinforcement strategies (eg, social recognition, continuing education) to communicate that these changes are noticed and appreciated.20 Late adopters may also be influenced by seeing positive feedback and results for peers. Systematic changes can be the catalyst for and sustain individual change.

Shifting perceptions and adopting change may be challenging, especially for SUD, which can be highly stigmatized. Promotion of successful change should be multifaceted and include both system and individual approaches. VHA systemic changes that could contribute to positive change include provision of time and access to SUD treatment training, a clear and sustainable treatment process, and reinforcement by recognizing success. In addition, facility leadership could provide support through dedicated time and resources during the workday for SUD treatment and harm reduction training. Support could empower HCPs and convey leadership support for harm reduction. This dedicated time could be used for didactic lecture sessions or individual meetings with academic detailers who can tailor discussions to the prescriber’s practice.

Strengths and Limitations

This survey included prescribers from a range of mental health care practice settings (eg, inpatient, outpatient clinic, rural, urban) and varied years of experience. This variety resulted in diverse perspectives and knowledge bases. Postsurvey interviews allowed academic detailers to gain deeper insight into answers in the survey, which can guide future interventions. Postsurvey interviews and application of the ADKAR model provided additional viewpoints on harm reduction.

A limitation of this project is the absence of an assessment of respondents’ harm reduction knowledge accuracy. Although respondents reported confidence in discussing harm reduction with patients, the survey did not assess whether their knowledge was accurate. Additionally, the survey did not ask about the availability of syringes and test strips at the prescribers’ VAMC, which could explain discrepancies in responses between naloxone and other forms of harm reduction (drug test strips and syringes were not available to all HCPs in the VISN). This lack of availability may have skewed responses. West Virginia SSPs, for example, were closed following legislative changes, which may contribute to stigma.21

Not all respondents were asked to do a follow-up interview, which limited the perspectives included in this study. Each site had ≥ 1 follow-up interview to limit the academic detailer’s workload. The initial survey included the phrase clean syringe, which can be stigmatizing and insinuate that PWUD are not clean. The preferred term would have been sterile syringe.22

Conclusions

This survey of mental health prescribers found that most respondents are comfortable treating patients with SUD and confident in educating patients on harm reduction. Additionally, most respondents were more willing to provide naloxone vs fentanyl test strips or sterile syringes. A lack of time and awareness was the most frequently cited barrier to harm reduction services. As the VHA continues to expand access to harm reduction programs, which have proven to increase treatment rates and reduce disease, it will be imperative for HCPs, including mental health prescribers, to recognize the benefit of these programs for veterans with SUD. Future interventions should be designed and evaluated in collaboration with all HCPs and patients. This project determined ways to promote change for prescribers, but it will be important for further research to continue those conversations and incorporate patient perspectives.

References
  1. Use of funds to supply hypodermic needles or syringes for illegal drug use; prohibition, 42 USC § 300ee-5 (1988). Accessed January 5, 2026. https://www.law.cornell.edu /uscode/text/42/300ee-5
  2. OD2A Case Study: Harm Reduction. Centers for Disease Control and Prevention. June 9, 2025. Accessed January 5, 2026. https://www.cdc.gov/overdose-prevention/php /od2a/harm-reduction.html
  3. Strengthening Syringe Services Programs (SSPs). Centers for Disease Control and Prevention. March 20, 2024. Accessed January 5, 2026. https://www.cdc.gov/hepatitis -syringe-services/php/about/index.html
  4. Weinmeyer R. Needle exchange programs’ status in US politics. AMA J Ethics. 2016;18:252-257. doi:10.1001/journalofethics.2016.18.3.hlaw1-1603
  5. Rife-Pennington T, Dinges E, Ho MQ. Implementing syringe services programs within the Veterans Health Administration: facility experiences and next steps. J Am Pharm Assoc (2003). 2023;63:234-240. doi:10.1016/j.japh.2022.10.019
  6. The Biden-Harris Administration’s Statement of Drug Policy Priorities for Year One. Executive Office of the President, Office of National Drug Control Policy. April 1, 2021. Accessed January 5, 2026. https://bidenwhitehouse.archives.gov/wp-content/uploads/2021/03/BidenHarris -Statement-of-Drug-Policy-Priorities-April-1.pdf
  7. HIV - for veterans and the public syringe services programs. US Department of Veterans Affairs. Updated August 16, 2021. Accessed January 5, 2026. https://www.hiv .va.gov/patient/ssp.asp
  8. Trump Administration’s Statement of Drug Policy Priorities. White House. April 1, 2025. Accessed January 7, 2026. https://www.whitehouse.gov/wp-content /uploads/2025/04/2025-Trump-Administration-Drug-Policy -Priorities.pdf
  9. Health Centers and Syringe Services Programs. National Health Care for the Homeless Council. May 2023. Accessed January 5, 2026. https://nhchc.org/wp-content /uploads/2023/06/Health-Centers-SSPs-Final.pdf
  10. Lynch RD, Biederman DJ, Silva S, Demasi K. A syringe service program within a federal system: foundations for implementation. J Addict Nurs. 2021;32:152-158. doi:10.1097/JAN.0000000000000402
  11. Harvey LH, Sliwinski SK, Flike K, et al. The integration of harm reduction services in the Veterans Health Administration (VHA): a qualitative analysis of barriers and facilitators. J Addict Dis. 2024;42:326-334. doi:10.1080/10550887.2023.2210021
  12. Drug Overdose Death Rates. National Center for Drug Abuse Statistics. Accessed January 5, 2026. https:// drugabusestatistics.org/drug-overdose-deaths
  13. Ng G. New database shows Baltimore greatly devastated by opioid epidemic. Updated August 21, 2023. Accessed January 5, 2026. https://www.wbaltv.com/article/opioid -epidemic-database-baltimore-deaths/44869671
  14. Introductory Guide to Academic Detailing. National Resource Center for Academic Detailing. 2017. Accessed January 5, 2026. https://www.narcad.org /uploads/5/7/9/5/57955981/introductory_guide_to_ad.pdf
  15. Zhang J. Can educational outreach improve experts’ decision making? Evidence from a national opioid academic detailing program. SSRN. 2023;4297398. doi:10.2139/ssrn.4297398
  16. Watson H, Maclaren W, Kerr S. Staff attitudes towards working with drug users: development of the Drug Problems Perceptions Questionnaire. Addiction. 2007;102:206- 215. doi:10.1111/j.1360-0443.2006.01686.x
  17. Dahl RA, Vakkalanka JP, Harland KK, Radke J. Investigating healthcare provider bias toward patients who use drugs using a survey-based implicit association test: pilot study. J Addict Med. 2022;16:557-562. doi:10.1097/ADM.0000000000000970
  18. Hiatt JM, Creasey TJ. Change Management: The People Side of Change. Prosci Learning Center Publications; 2012.
  19. Wyse JJ, Shull S, Lindner S, et al. Access to medications for opioid use disorder in rural versus urban Veterans Health Administration facilities. J Gen Intern Med. 2023;38:1871-1876. doi:10.1007/s11606-023-08027-4
  20. Mostofian F, Ruban C, Simunovic N, Bhandari M. Changing physician behavior: what works?. Am J Manag Care. 2015;21(1):75-84.
  21. Bergdorf-Smith K, Bridge Initiative for S&T Policy, Leadership, and Communications. Syringe Service Programs and HIV Prevention in West Virginia. West Virginia University. February 5, 2024. Accessed January 5, 2026. https:// scitechpolicy.wvu.edu/science-and-technology-notes -articles/2024/02/05/syringe-service-programs-and-hiv -prevention-in-west-virginia
  22. Brunsdon N. Stop saying ‘clean’. Injecting Advice. February 7, 2011. Accessed January 5, 2026. https:// injectingadvice.com/stop-saying-clean/
Article PDF
Author and Disclosure Information

Nadia Jubran, PharmD, MSa; Kelly Kang, PharmDa; Joy Chai, PharmDa; Alyssia Jaume, PharmDa

Author affiliations aVeterans Integrated Service Network 5, Linthicum Heights, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent The Veterans Affairs Washington, DC Institutional Review Board approved this quality improvement project for potential publication.

Acknowledgments The authors thank Phil Bratta, PhD; Cara Goode, PharmD; Julie Rumbach-Austin, RPh, MBA; Ivana Rosiek, PharmD; and Jennifer Sequera, PharmD.

Correspondence: Nadia Jubran (jubran.nadia@gmail.com)

Fed Pract. 2026;43(2). Published online March 9. doi:10.12788/fp.0677

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Author and Disclosure Information

Nadia Jubran, PharmD, MSa; Kelly Kang, PharmDa; Joy Chai, PharmDa; Alyssia Jaume, PharmDa

Author affiliations aVeterans Integrated Service Network 5, Linthicum Heights, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent The Veterans Affairs Washington, DC Institutional Review Board approved this quality improvement project for potential publication.

Acknowledgments The authors thank Phil Bratta, PhD; Cara Goode, PharmD; Julie Rumbach-Austin, RPh, MBA; Ivana Rosiek, PharmD; and Jennifer Sequera, PharmD.

Correspondence: Nadia Jubran (jubran.nadia@gmail.com)

Fed Pract. 2026;43(2). Published online March 9. doi:10.12788/fp.0677

Author and Disclosure Information

Nadia Jubran, PharmD, MSa; Kelly Kang, PharmDa; Joy Chai, PharmDa; Alyssia Jaume, PharmDa

Author affiliations aVeterans Integrated Service Network 5, Linthicum Heights, Maryland

Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Ethics and consent The Veterans Affairs Washington, DC Institutional Review Board approved this quality improvement project for potential publication.

Acknowledgments The authors thank Phil Bratta, PhD; Cara Goode, PharmD; Julie Rumbach-Austin, RPh, MBA; Ivana Rosiek, PharmD; and Jennifer Sequera, PharmD.

Correspondence: Nadia Jubran (jubran.nadia@gmail.com)

Fed Pract. 2026;43(2). Published online March 9. doi:10.12788/fp.0677

Article PDF
Article PDF

The Public Health and Welfare Act of 1988 prohibited the use of federal funds to “provide individuals with hypodermic needles or syringes so that such individuals may use illegal drugs.”1 Although the Act included the caveat that the US Surgeon General may determine that “a demonstration needle exchange program would be effective in reducing drug abuse,” and thus federal funds could be used, the legislation prohibited federal, state, and local agencies from funding syringe services programs (SSPs). SSPs use various harm reduction tools to improve public safety and reduce the potential harmful consequences of risky behaviors, similar to how using a seat belt while driving reduces the risk of injury or death.2 SSPs are rooted in evidence-based practices, and several studies, according to the Centers for Disease Control and Prevention, have found that people who use drugs (PWUDs) who use community-based SSPs are 5 times more likely to enter treatment than those who do not use these programs. Additionally, these programs have shown an estimated 50% reduction in HIV and hepatitis C infections.3

Amid a 2015 HIV outbreak in Indiana among individuals sharing needles for injection drug use, Congress passed an omnibus spending bill that partially lifted the federal funding restriction. Federal funds now may be used for operational costs that support SSPs but may not be used to purchase syringes themselves.4

Following the 2015 legislation, federal agencies began implementing SSPs. The Veterans Health Administration (VHA) established SSPs at 3 medical centers in 2017.5 Veterans who participated in the programs were able to access supplies (eg, syringes, fentanyl test strips, wound care kits, and condoms) through donations to US Department of Veterans Affairs (VA) medical centers (VAMCs). The success of these programs laid the foundation for the VHA to implement SSPs nationally. VHA SSPs provided access to naloxone (an opioid overdose reversal medication), fentanyl test strips, condoms, sterile syringe distribution, testing for blood-borne viruses, HIV pre-exposure prophylaxis, as well as educational materials and resources, and low-barrier access to drug treatment (eg, medications for opioid use disorder [OUD]).

In 2020, the Biden Administration outlined 7 drug policy priorities, which included enhancing evidence-based harm reduction efforts. 6 This policy also discussed mandates for federal agencies to remove barriers to federal funding for purchasing syringes and other harm reduction supplies. The VHA responded to the policy by publishing guidance that recommended VAMCs develop and/or ensure veterans have access to harm reduction services in the community, where state law is not legally more stringent.7

In 2025 the Trump administration Statement of Drug Policy Priorities encouraged local jurisdictions to increase the availability of drug test strips and naloxone.8 These significant policy shifts moved SSPs from being housed mostly in local public health departments and community-based organizations to also being available at health care facilities. 9 VAMCs have unique opportunities to provide universal health care that includes both prevention services and other medical management to PWUD.

One study assessed staff perceptions of PWUD at a VAMC in preparation for a training program about harm reduction. The results indicated an overall positive staff perception of PWUD, although only the Drug and Drug Problems Perceptions Questionnaire (DDPPQ) was administered, which assessed comfort of working with this population and not explicitly the use of harm reduction.10 Another study interviewed clinical pharmacists, primary care clinicians, social workers, and directors of addiction and mental health services to determine barriers and facilitators (ie, potential opportunities to promote change) to implementing harm reduction at the VHA. The study identified barriers to be a lack of knowledge, time, and comfort, while suggesting opportunities for improvement were engagement of champions, communication and educational strategies, and adaptation of existing infrastructure.11

While these findings are insightful for the VHA to disseminate a harm reduction program, there remains a gap in assessing staff willingness to provide harm reduction services. Evidence on harm reduction services among veterans is limited and more research is needed to better understand the role of these services and acceptance among enrolled veterans and VHA staff. Specifically, more research is needed on health care practitioners’ (HCPs) perceptions of harm reduction use.

Mental health care practitioners frequently treat patients with substance use disorders (SUDs), making them an ideal initial cohort to assess willingness to provide harm reduction to this population. By analyzing mental HCPs’ perceptions, additional interventions could be identified, implemented, and evaluated to improve their willingness to provide harm reduction tools.

This project focused on mental health clinicians with prescribing privileges: physicians (allopathic and osteopathic physicians), nurse practitioners, physician assistants, and clinical pharmacist practitioners. Mental health prescribers were selected because they are uniquely positioned at the intersection of prevention and treatment in drug use. Furthermore, mental health prescribers at the VAMCs included in this study are usually the primary point of entry to SUD clinics. This mixed-methods study used an anonymous online survey and voluntary postsurvey discussions with mental health care prescribers to elaborate on their beliefs and attitudes, providing deeper insight into their responses regarding harm reduction.

Methods

This project was conducted by the Veterans Integrated Services Network (VISN) 5 academic detailing team. VISN 5 serves veterans from economically and demographically diverse areas in Maryland; Washington, DC; West Virginia; and portions of Virginia, Pennsylvania, Ohio, and Kentucky. VAMCs in Baltimore, Maryland, and Washington, DC, serve a largely urban population while the 4 West Virginia facilities in Martinsburg, Huntington, Beckley, and Clarksburg, serve a largely rural population. West Virginia has been the epicenter of the opioid crisis and consistently has the highest drug overdose deaths per capita in the United States.12 Among cities, Baltimore, Maryland, has the highest number of drug overdose deaths per capita with 174.1 per 100,000 people.12,13

At the time of this project, the 6 VISN 5 VAMCs had established overdose education and naloxone distribution (OEND) programs. Although OEND programs have existed since 2013, VISN 5 SSPs and harm reduction services that provided fentanyl test strips were only available at the Martinsburg, Beckley, and Huntington VAMCs. All 6 VAMCs had substance use treatment programs with a variety of inpatient and outpatient mental health services. The Washington, DC and Baltimore VAMCs had opioid treatment programs that provided methadone maintenance.

The VISN 5 academic detailing team consists of 7 clinical pharmacists. These academic detailers plan annual systematic interventions to provide medical knowledge translation services on health-related campaigns. Academic detailers are trained in change management and motivational interviewing. They uniquely facilitate conversations with HCPs on various topics or campaigns, aiming for quality improvement and behavioral change through positive relationships and sharing resources.14 Academic detailing conversations and relationships with HCPs involve assessing and understanding HCP behaviors, including barriers and readiness to change to align with the goal of improving patient outcomes. Academic detailing has improved practice behaviors around providing OEND in VHA.15

To prepare for a harm reduction campaign, the academic detailers sought to gain insight from target VISN 5 mental health prescribers. Figure 1 outlines the project timeline, which started with emails inviting mental health prescribers to complete an anonymous online survey. Academic detailers from each site emailed mental health prescribers who completed the survey to determine interest in expanding on survey findings. Mental health prescribers who completed the survey could participate in a postsurvey discussion.

0226FED_eHarm_F1

Surveys

Between January 29, 2024, and February 22, 2024, the academic detailers emailed facility mental health prescribers (N = 156) a link to an anonymous 15-question survey. The email informed recipients of the survey’s purpose: to gain a better understanding of prescriber perceptions of veterans with SUD and harm reduction programs and their willingness to provide harm reduction tools, to better determine interventions that could be implemented.

The survey collected prescriber demographic data and their perceptions of PWUD and harm reduction tools and education. Survey questions were extrapolated from validated surveys (eg, DDPPQ) and survey-based implicit association test.16,17 The survey used multiple choice and 5-point Likert scale questions. Mental health prescribers were asked about their role at the VHA, years in practice, medical center affiliation, type of SUDs treated (eg, opioid, stimulant, alcohol, cannabis, or other), and whether they had previously met with academic detailers about harm reduction.

Respondents read statements about patients with or without SUD and provided Likert scale responses describing their regard, level of comfort, and preferences. The survey included Likert scale questions about respondents’ comfort in providing harm reduction education and supplies. Respondents also noted whether they believed harm reduction reduced substance use, harm reduction tools encourage people with SUD to continue using drugs, and whether HCPs can impact clinical change.

Postsurvey interviews with predetermined questions were conducted in-person or via video conference with ≥ 1 prescriber at each VAMC by an academic detailer. The postsurvey discussion offered an opportunity for respondents to further elaborate and describe previous experiences and current beliefs that may affect their attitudes toward people with SUD and their views on harm reduction. Participants received no compensation for survey completion or interviews.

Analysis

The Washington VAMC Institutional Review Board reviewed and approved this project as quality improvement with potential publication. No inferential statistics were calculated. Survey participant demographics were reported using frequencies and proportions reported for categorical variables. Notes from follow-up interviews were analyzed using the Prosci Awareness, Desire, Knowledge, Ability, and Reinforcement (ADKAR) Model for Change Management.18 This framework is used by academic detailers to determine a prescriber’s stage of change, which helps select the appropriate resources to move the clinician along a change framework. Completed postsurvey interview sheets, including notes written by the academic detailer, were analyzed by the project lead (NJ) who reviewed each interview sheet and analysis with the academic detailer who led the discussion.

Results

Sixty-six respondents completed the online survey (42% response rate), and 7 mental health prescribers participated in a postsurvey discussion. Thirty-one participants (47%) were physicians and 17 (26%) were in practice for > 20 years. Response rates reflected the size of mental health staff at each VAMC at the time of the survey: 17 respondents (26%) worked at each of the Martinsburg and Baltimore VAMCs, with fewer at the other VAMCs (Table 1). Alcohol use disorder was the most commonly reported SUD treated (n = 62; 33%), followed by cannabis use disorder (n = 40; 21%), OUD (n = 38; 20%), and stimulant use disorder (n = 37; 20%).

0226FED_eHarm_T1

Respondents felt comfortable and confident educating patients on ways to reduce harm related to substance use (91%; mean [SD], 4.24 [0.84]). Most prescribers surveyed (97%; mean [SD], 1.59 [0.68]) disagreed or strongly disagreed that harm reduction encourages patients with SUD to continue using drugs, and all prescribers surveyed disagreed that there is nothing they can do to encourage harm reduction. Survey results were mixed for personal comfort in working with people with SUD vs people without SUD (Figure 2). Respondents were most willing to provide naloxone (95%; mean [SD], 4.71 [0.78]), compared to fentanyl test strips (61%; mean [SD], 3.61 [1.41]) or syringes (39%; mean [SD], 3.18 [1.39]). Respondents were neutral or least willing to provide syringes (Figure 3).

0226FED_eHarm_F20226FED_eHarm_F3

Seven postsurvey interviews were completed between academic detailers and mental health clinicians across the 6 VAMCs. Respondents included 1 physician assistant, 1 nurse practitioner, 1 pharmacist, and 4 physicians. Notes were analyzed using the ADKAR Change Competency Model to organize clinician stages of change (Table 2).

0226FED_eHarm_T2

Barriers identified by interviewees included lack of mobile services, lack of confidence and awareness of the availability of harm reduction at their respective medical center, lack of time to discuss harm reduction, negative sentiments toward providing SUD-related harm reduction, discomfort with harm reduction products, and lack of knowledge and time to learn about harm reduction services. Opportunities identified to drive change in practice included additional time allotted during patient appointments, educational discussions and presentations to increase knowledge of and comfort with harm reduction tools, a clear clinical patient care workflow and process for harm reduction services, and reinforcement strategies to recognize success.

Discussion

This project investigated mental health prescribers’ perceptions of harm reduction at VAMCs in West Virginia, Maryland, and Washington, DC. While previous studies have demonstrated the efficacy of harm reduction tools, there is a lack of research on HCPs willingness to use these resources. This study suggests that while most respondents feel confident in and see the value of offering harm reduction resources to patients, a disparity exists between which resources HCPs are more likely to use and factors that would further enhance their ability to integrate harm reduction into practice. The follow-up interviews provided additional insight into the survey results.

Most respondents met the awareness and desire stage and moved to the knowledge, ability, or reinforcement ADKAR stage. It would be reasonable to extrapolate that most of the respondents felt comfortable with and were very likely to offer certain harm reduction tools. In the ADKAR interview analysis, the most common factors needed to drive change included having more time during patient appointments, additional education, clear processes for harm reduction services, and reinforcement strategies to sustain change. Respondents noted that harm reduction discussions took extra time in their already limited appointments with patients, which may have limited time for discussions surrounding all other mental health concerns. These discussions often necessitate in-depth conversations to accurately understand the patients’ needs. Given HCP time constraints, they may view harm reduction as lower in urgency and priority relative to other concerns. While most respondents were in the reinforcement phase, it is important to note the ADKAR model is fluid, and therefore an HCP could move forward or backward. This movement can be noted in the postsurvey interviews where, for example, prescriber 6 was determined to be in the reinforcement stage since they had already discussed harm reduction with patients. However, prescriber 6 also noted a barrier of unfamiliarity with local laws, which could shift them to the ADKAR knowledge stage.

Respondents noted that education through didactic sessions could lead to better incorporation of harm reduction into patient care. While harm reduction has evidence supporting its effectiveness, the respondents noted willingness to discuss harm reduction when treatment fails or the patient refuses treatment or referrals. Respondents expressed mixed opinions on use of harm reduction tools among patients with SUDs as some prescribers viewed harm reduction as part of a treatment plan and others viewed a return to drug use as a failure of treatment. Furthermore, respondents expressed hesitancy surrounding certain harm reduction tools, such as fentanyl test strips or syringes, and perceived these supplies as intended for medical use rather than harm reduction. HCPs may feel uncomfortable offering these supplies for drug use, despite their use for reducing risk.

Most responses were received from VAMCs with large mental health substance use programs. Respondents at larger, urban facilities (Washington, DC, and Baltimore, Maryland) expressed more hesitancy around using harm reduction tools despite having more harm reduction resources available compared to smaller or rural sites. These results align with previous studies that found no difference in prescribers providing medications for OUD in rural and urban VAMCs, showing urban sites, despite more resources, are not more willing to provide harm reduction or other addiction services.19 This evidence might indicate that urban sites may not use available resources (eg, methadone clinics) or that rural sites can provide just as robust medications for OUD care as urban sites.

Follow-up interview analysis indicated that HCPs lack knowledge of certain harm reduction tools. One-on-one peer discussions, like academic detailing, can facilitate discussions around a prescriber’s role in harm reduction, address gaps in knowledge by sharing what is available at the facilities for harm reduction, and suggest conversation points to help prescribers start harm reduction discussions with patients unwilling to begin treatment. Additionally, academic detailing can connect prescribers to available resources in the community to provide pragmatic approaches and suggestions. A clear and consistent treatment process may reduce barriers by reassuring prescribers they have support and by providing consistent directions so that prescribers do not waste time.

Reinforcement is important for sustaining change. VAMCs could consider positive feedback and other evidence-based reinforcement strategies (eg, social recognition, continuing education) to communicate that these changes are noticed and appreciated.20 Late adopters may also be influenced by seeing positive feedback and results for peers. Systematic changes can be the catalyst for and sustain individual change.

Shifting perceptions and adopting change may be challenging, especially for SUD, which can be highly stigmatized. Promotion of successful change should be multifaceted and include both system and individual approaches. VHA systemic changes that could contribute to positive change include provision of time and access to SUD treatment training, a clear and sustainable treatment process, and reinforcement by recognizing success. In addition, facility leadership could provide support through dedicated time and resources during the workday for SUD treatment and harm reduction training. Support could empower HCPs and convey leadership support for harm reduction. This dedicated time could be used for didactic lecture sessions or individual meetings with academic detailers who can tailor discussions to the prescriber’s practice.

Strengths and Limitations

This survey included prescribers from a range of mental health care practice settings (eg, inpatient, outpatient clinic, rural, urban) and varied years of experience. This variety resulted in diverse perspectives and knowledge bases. Postsurvey interviews allowed academic detailers to gain deeper insight into answers in the survey, which can guide future interventions. Postsurvey interviews and application of the ADKAR model provided additional viewpoints on harm reduction.

A limitation of this project is the absence of an assessment of respondents’ harm reduction knowledge accuracy. Although respondents reported confidence in discussing harm reduction with patients, the survey did not assess whether their knowledge was accurate. Additionally, the survey did not ask about the availability of syringes and test strips at the prescribers’ VAMC, which could explain discrepancies in responses between naloxone and other forms of harm reduction (drug test strips and syringes were not available to all HCPs in the VISN). This lack of availability may have skewed responses. West Virginia SSPs, for example, were closed following legislative changes, which may contribute to stigma.21

Not all respondents were asked to do a follow-up interview, which limited the perspectives included in this study. Each site had ≥ 1 follow-up interview to limit the academic detailer’s workload. The initial survey included the phrase clean syringe, which can be stigmatizing and insinuate that PWUD are not clean. The preferred term would have been sterile syringe.22

Conclusions

This survey of mental health prescribers found that most respondents are comfortable treating patients with SUD and confident in educating patients on harm reduction. Additionally, most respondents were more willing to provide naloxone vs fentanyl test strips or sterile syringes. A lack of time and awareness was the most frequently cited barrier to harm reduction services. As the VHA continues to expand access to harm reduction programs, which have proven to increase treatment rates and reduce disease, it will be imperative for HCPs, including mental health prescribers, to recognize the benefit of these programs for veterans with SUD. Future interventions should be designed and evaluated in collaboration with all HCPs and patients. This project determined ways to promote change for prescribers, but it will be important for further research to continue those conversations and incorporate patient perspectives.

The Public Health and Welfare Act of 1988 prohibited the use of federal funds to “provide individuals with hypodermic needles or syringes so that such individuals may use illegal drugs.”1 Although the Act included the caveat that the US Surgeon General may determine that “a demonstration needle exchange program would be effective in reducing drug abuse,” and thus federal funds could be used, the legislation prohibited federal, state, and local agencies from funding syringe services programs (SSPs). SSPs use various harm reduction tools to improve public safety and reduce the potential harmful consequences of risky behaviors, similar to how using a seat belt while driving reduces the risk of injury or death.2 SSPs are rooted in evidence-based practices, and several studies, according to the Centers for Disease Control and Prevention, have found that people who use drugs (PWUDs) who use community-based SSPs are 5 times more likely to enter treatment than those who do not use these programs. Additionally, these programs have shown an estimated 50% reduction in HIV and hepatitis C infections.3

Amid a 2015 HIV outbreak in Indiana among individuals sharing needles for injection drug use, Congress passed an omnibus spending bill that partially lifted the federal funding restriction. Federal funds now may be used for operational costs that support SSPs but may not be used to purchase syringes themselves.4

Following the 2015 legislation, federal agencies began implementing SSPs. The Veterans Health Administration (VHA) established SSPs at 3 medical centers in 2017.5 Veterans who participated in the programs were able to access supplies (eg, syringes, fentanyl test strips, wound care kits, and condoms) through donations to US Department of Veterans Affairs (VA) medical centers (VAMCs). The success of these programs laid the foundation for the VHA to implement SSPs nationally. VHA SSPs provided access to naloxone (an opioid overdose reversal medication), fentanyl test strips, condoms, sterile syringe distribution, testing for blood-borne viruses, HIV pre-exposure prophylaxis, as well as educational materials and resources, and low-barrier access to drug treatment (eg, medications for opioid use disorder [OUD]).

In 2020, the Biden Administration outlined 7 drug policy priorities, which included enhancing evidence-based harm reduction efforts. 6 This policy also discussed mandates for federal agencies to remove barriers to federal funding for purchasing syringes and other harm reduction supplies. The VHA responded to the policy by publishing guidance that recommended VAMCs develop and/or ensure veterans have access to harm reduction services in the community, where state law is not legally more stringent.7

In 2025 the Trump administration Statement of Drug Policy Priorities encouraged local jurisdictions to increase the availability of drug test strips and naloxone.8 These significant policy shifts moved SSPs from being housed mostly in local public health departments and community-based organizations to also being available at health care facilities. 9 VAMCs have unique opportunities to provide universal health care that includes both prevention services and other medical management to PWUD.

One study assessed staff perceptions of PWUD at a VAMC in preparation for a training program about harm reduction. The results indicated an overall positive staff perception of PWUD, although only the Drug and Drug Problems Perceptions Questionnaire (DDPPQ) was administered, which assessed comfort of working with this population and not explicitly the use of harm reduction.10 Another study interviewed clinical pharmacists, primary care clinicians, social workers, and directors of addiction and mental health services to determine barriers and facilitators (ie, potential opportunities to promote change) to implementing harm reduction at the VHA. The study identified barriers to be a lack of knowledge, time, and comfort, while suggesting opportunities for improvement were engagement of champions, communication and educational strategies, and adaptation of existing infrastructure.11

While these findings are insightful for the VHA to disseminate a harm reduction program, there remains a gap in assessing staff willingness to provide harm reduction services. Evidence on harm reduction services among veterans is limited and more research is needed to better understand the role of these services and acceptance among enrolled veterans and VHA staff. Specifically, more research is needed on health care practitioners’ (HCPs) perceptions of harm reduction use.

Mental health care practitioners frequently treat patients with substance use disorders (SUDs), making them an ideal initial cohort to assess willingness to provide harm reduction to this population. By analyzing mental HCPs’ perceptions, additional interventions could be identified, implemented, and evaluated to improve their willingness to provide harm reduction tools.

This project focused on mental health clinicians with prescribing privileges: physicians (allopathic and osteopathic physicians), nurse practitioners, physician assistants, and clinical pharmacist practitioners. Mental health prescribers were selected because they are uniquely positioned at the intersection of prevention and treatment in drug use. Furthermore, mental health prescribers at the VAMCs included in this study are usually the primary point of entry to SUD clinics. This mixed-methods study used an anonymous online survey and voluntary postsurvey discussions with mental health care prescribers to elaborate on their beliefs and attitudes, providing deeper insight into their responses regarding harm reduction.

Methods

This project was conducted by the Veterans Integrated Services Network (VISN) 5 academic detailing team. VISN 5 serves veterans from economically and demographically diverse areas in Maryland; Washington, DC; West Virginia; and portions of Virginia, Pennsylvania, Ohio, and Kentucky. VAMCs in Baltimore, Maryland, and Washington, DC, serve a largely urban population while the 4 West Virginia facilities in Martinsburg, Huntington, Beckley, and Clarksburg, serve a largely rural population. West Virginia has been the epicenter of the opioid crisis and consistently has the highest drug overdose deaths per capita in the United States.12 Among cities, Baltimore, Maryland, has the highest number of drug overdose deaths per capita with 174.1 per 100,000 people.12,13

At the time of this project, the 6 VISN 5 VAMCs had established overdose education and naloxone distribution (OEND) programs. Although OEND programs have existed since 2013, VISN 5 SSPs and harm reduction services that provided fentanyl test strips were only available at the Martinsburg, Beckley, and Huntington VAMCs. All 6 VAMCs had substance use treatment programs with a variety of inpatient and outpatient mental health services. The Washington, DC and Baltimore VAMCs had opioid treatment programs that provided methadone maintenance.

The VISN 5 academic detailing team consists of 7 clinical pharmacists. These academic detailers plan annual systematic interventions to provide medical knowledge translation services on health-related campaigns. Academic detailers are trained in change management and motivational interviewing. They uniquely facilitate conversations with HCPs on various topics or campaigns, aiming for quality improvement and behavioral change through positive relationships and sharing resources.14 Academic detailing conversations and relationships with HCPs involve assessing and understanding HCP behaviors, including barriers and readiness to change to align with the goal of improving patient outcomes. Academic detailing has improved practice behaviors around providing OEND in VHA.15

To prepare for a harm reduction campaign, the academic detailers sought to gain insight from target VISN 5 mental health prescribers. Figure 1 outlines the project timeline, which started with emails inviting mental health prescribers to complete an anonymous online survey. Academic detailers from each site emailed mental health prescribers who completed the survey to determine interest in expanding on survey findings. Mental health prescribers who completed the survey could participate in a postsurvey discussion.

0226FED_eHarm_F1

Surveys

Between January 29, 2024, and February 22, 2024, the academic detailers emailed facility mental health prescribers (N = 156) a link to an anonymous 15-question survey. The email informed recipients of the survey’s purpose: to gain a better understanding of prescriber perceptions of veterans with SUD and harm reduction programs and their willingness to provide harm reduction tools, to better determine interventions that could be implemented.

The survey collected prescriber demographic data and their perceptions of PWUD and harm reduction tools and education. Survey questions were extrapolated from validated surveys (eg, DDPPQ) and survey-based implicit association test.16,17 The survey used multiple choice and 5-point Likert scale questions. Mental health prescribers were asked about their role at the VHA, years in practice, medical center affiliation, type of SUDs treated (eg, opioid, stimulant, alcohol, cannabis, or other), and whether they had previously met with academic detailers about harm reduction.

Respondents read statements about patients with or without SUD and provided Likert scale responses describing their regard, level of comfort, and preferences. The survey included Likert scale questions about respondents’ comfort in providing harm reduction education and supplies. Respondents also noted whether they believed harm reduction reduced substance use, harm reduction tools encourage people with SUD to continue using drugs, and whether HCPs can impact clinical change.

Postsurvey interviews with predetermined questions were conducted in-person or via video conference with ≥ 1 prescriber at each VAMC by an academic detailer. The postsurvey discussion offered an opportunity for respondents to further elaborate and describe previous experiences and current beliefs that may affect their attitudes toward people with SUD and their views on harm reduction. Participants received no compensation for survey completion or interviews.

Analysis

The Washington VAMC Institutional Review Board reviewed and approved this project as quality improvement with potential publication. No inferential statistics were calculated. Survey participant demographics were reported using frequencies and proportions reported for categorical variables. Notes from follow-up interviews were analyzed using the Prosci Awareness, Desire, Knowledge, Ability, and Reinforcement (ADKAR) Model for Change Management.18 This framework is used by academic detailers to determine a prescriber’s stage of change, which helps select the appropriate resources to move the clinician along a change framework. Completed postsurvey interview sheets, including notes written by the academic detailer, were analyzed by the project lead (NJ) who reviewed each interview sheet and analysis with the academic detailer who led the discussion.

Results

Sixty-six respondents completed the online survey (42% response rate), and 7 mental health prescribers participated in a postsurvey discussion. Thirty-one participants (47%) were physicians and 17 (26%) were in practice for > 20 years. Response rates reflected the size of mental health staff at each VAMC at the time of the survey: 17 respondents (26%) worked at each of the Martinsburg and Baltimore VAMCs, with fewer at the other VAMCs (Table 1). Alcohol use disorder was the most commonly reported SUD treated (n = 62; 33%), followed by cannabis use disorder (n = 40; 21%), OUD (n = 38; 20%), and stimulant use disorder (n = 37; 20%).

0226FED_eHarm_T1

Respondents felt comfortable and confident educating patients on ways to reduce harm related to substance use (91%; mean [SD], 4.24 [0.84]). Most prescribers surveyed (97%; mean [SD], 1.59 [0.68]) disagreed or strongly disagreed that harm reduction encourages patients with SUD to continue using drugs, and all prescribers surveyed disagreed that there is nothing they can do to encourage harm reduction. Survey results were mixed for personal comfort in working with people with SUD vs people without SUD (Figure 2). Respondents were most willing to provide naloxone (95%; mean [SD], 4.71 [0.78]), compared to fentanyl test strips (61%; mean [SD], 3.61 [1.41]) or syringes (39%; mean [SD], 3.18 [1.39]). Respondents were neutral or least willing to provide syringes (Figure 3).

0226FED_eHarm_F20226FED_eHarm_F3

Seven postsurvey interviews were completed between academic detailers and mental health clinicians across the 6 VAMCs. Respondents included 1 physician assistant, 1 nurse practitioner, 1 pharmacist, and 4 physicians. Notes were analyzed using the ADKAR Change Competency Model to organize clinician stages of change (Table 2).

0226FED_eHarm_T2

Barriers identified by interviewees included lack of mobile services, lack of confidence and awareness of the availability of harm reduction at their respective medical center, lack of time to discuss harm reduction, negative sentiments toward providing SUD-related harm reduction, discomfort with harm reduction products, and lack of knowledge and time to learn about harm reduction services. Opportunities identified to drive change in practice included additional time allotted during patient appointments, educational discussions and presentations to increase knowledge of and comfort with harm reduction tools, a clear clinical patient care workflow and process for harm reduction services, and reinforcement strategies to recognize success.

Discussion

This project investigated mental health prescribers’ perceptions of harm reduction at VAMCs in West Virginia, Maryland, and Washington, DC. While previous studies have demonstrated the efficacy of harm reduction tools, there is a lack of research on HCPs willingness to use these resources. This study suggests that while most respondents feel confident in and see the value of offering harm reduction resources to patients, a disparity exists between which resources HCPs are more likely to use and factors that would further enhance their ability to integrate harm reduction into practice. The follow-up interviews provided additional insight into the survey results.

Most respondents met the awareness and desire stage and moved to the knowledge, ability, or reinforcement ADKAR stage. It would be reasonable to extrapolate that most of the respondents felt comfortable with and were very likely to offer certain harm reduction tools. In the ADKAR interview analysis, the most common factors needed to drive change included having more time during patient appointments, additional education, clear processes for harm reduction services, and reinforcement strategies to sustain change. Respondents noted that harm reduction discussions took extra time in their already limited appointments with patients, which may have limited time for discussions surrounding all other mental health concerns. These discussions often necessitate in-depth conversations to accurately understand the patients’ needs. Given HCP time constraints, they may view harm reduction as lower in urgency and priority relative to other concerns. While most respondents were in the reinforcement phase, it is important to note the ADKAR model is fluid, and therefore an HCP could move forward or backward. This movement can be noted in the postsurvey interviews where, for example, prescriber 6 was determined to be in the reinforcement stage since they had already discussed harm reduction with patients. However, prescriber 6 also noted a barrier of unfamiliarity with local laws, which could shift them to the ADKAR knowledge stage.

Respondents noted that education through didactic sessions could lead to better incorporation of harm reduction into patient care. While harm reduction has evidence supporting its effectiveness, the respondents noted willingness to discuss harm reduction when treatment fails or the patient refuses treatment or referrals. Respondents expressed mixed opinions on use of harm reduction tools among patients with SUDs as some prescribers viewed harm reduction as part of a treatment plan and others viewed a return to drug use as a failure of treatment. Furthermore, respondents expressed hesitancy surrounding certain harm reduction tools, such as fentanyl test strips or syringes, and perceived these supplies as intended for medical use rather than harm reduction. HCPs may feel uncomfortable offering these supplies for drug use, despite their use for reducing risk.

Most responses were received from VAMCs with large mental health substance use programs. Respondents at larger, urban facilities (Washington, DC, and Baltimore, Maryland) expressed more hesitancy around using harm reduction tools despite having more harm reduction resources available compared to smaller or rural sites. These results align with previous studies that found no difference in prescribers providing medications for OUD in rural and urban VAMCs, showing urban sites, despite more resources, are not more willing to provide harm reduction or other addiction services.19 This evidence might indicate that urban sites may not use available resources (eg, methadone clinics) or that rural sites can provide just as robust medications for OUD care as urban sites.

Follow-up interview analysis indicated that HCPs lack knowledge of certain harm reduction tools. One-on-one peer discussions, like academic detailing, can facilitate discussions around a prescriber’s role in harm reduction, address gaps in knowledge by sharing what is available at the facilities for harm reduction, and suggest conversation points to help prescribers start harm reduction discussions with patients unwilling to begin treatment. Additionally, academic detailing can connect prescribers to available resources in the community to provide pragmatic approaches and suggestions. A clear and consistent treatment process may reduce barriers by reassuring prescribers they have support and by providing consistent directions so that prescribers do not waste time.

Reinforcement is important for sustaining change. VAMCs could consider positive feedback and other evidence-based reinforcement strategies (eg, social recognition, continuing education) to communicate that these changes are noticed and appreciated.20 Late adopters may also be influenced by seeing positive feedback and results for peers. Systematic changes can be the catalyst for and sustain individual change.

Shifting perceptions and adopting change may be challenging, especially for SUD, which can be highly stigmatized. Promotion of successful change should be multifaceted and include both system and individual approaches. VHA systemic changes that could contribute to positive change include provision of time and access to SUD treatment training, a clear and sustainable treatment process, and reinforcement by recognizing success. In addition, facility leadership could provide support through dedicated time and resources during the workday for SUD treatment and harm reduction training. Support could empower HCPs and convey leadership support for harm reduction. This dedicated time could be used for didactic lecture sessions or individual meetings with academic detailers who can tailor discussions to the prescriber’s practice.

Strengths and Limitations

This survey included prescribers from a range of mental health care practice settings (eg, inpatient, outpatient clinic, rural, urban) and varied years of experience. This variety resulted in diverse perspectives and knowledge bases. Postsurvey interviews allowed academic detailers to gain deeper insight into answers in the survey, which can guide future interventions. Postsurvey interviews and application of the ADKAR model provided additional viewpoints on harm reduction.

A limitation of this project is the absence of an assessment of respondents’ harm reduction knowledge accuracy. Although respondents reported confidence in discussing harm reduction with patients, the survey did not assess whether their knowledge was accurate. Additionally, the survey did not ask about the availability of syringes and test strips at the prescribers’ VAMC, which could explain discrepancies in responses between naloxone and other forms of harm reduction (drug test strips and syringes were not available to all HCPs in the VISN). This lack of availability may have skewed responses. West Virginia SSPs, for example, were closed following legislative changes, which may contribute to stigma.21

Not all respondents were asked to do a follow-up interview, which limited the perspectives included in this study. Each site had ≥ 1 follow-up interview to limit the academic detailer’s workload. The initial survey included the phrase clean syringe, which can be stigmatizing and insinuate that PWUD are not clean. The preferred term would have been sterile syringe.22

Conclusions

This survey of mental health prescribers found that most respondents are comfortable treating patients with SUD and confident in educating patients on harm reduction. Additionally, most respondents were more willing to provide naloxone vs fentanyl test strips or sterile syringes. A lack of time and awareness was the most frequently cited barrier to harm reduction services. As the VHA continues to expand access to harm reduction programs, which have proven to increase treatment rates and reduce disease, it will be imperative for HCPs, including mental health prescribers, to recognize the benefit of these programs for veterans with SUD. Future interventions should be designed and evaluated in collaboration with all HCPs and patients. This project determined ways to promote change for prescribers, but it will be important for further research to continue those conversations and incorporate patient perspectives.

References
  1. Use of funds to supply hypodermic needles or syringes for illegal drug use; prohibition, 42 USC § 300ee-5 (1988). Accessed January 5, 2026. https://www.law.cornell.edu /uscode/text/42/300ee-5
  2. OD2A Case Study: Harm Reduction. Centers for Disease Control and Prevention. June 9, 2025. Accessed January 5, 2026. https://www.cdc.gov/overdose-prevention/php /od2a/harm-reduction.html
  3. Strengthening Syringe Services Programs (SSPs). Centers for Disease Control and Prevention. March 20, 2024. Accessed January 5, 2026. https://www.cdc.gov/hepatitis -syringe-services/php/about/index.html
  4. Weinmeyer R. Needle exchange programs’ status in US politics. AMA J Ethics. 2016;18:252-257. doi:10.1001/journalofethics.2016.18.3.hlaw1-1603
  5. Rife-Pennington T, Dinges E, Ho MQ. Implementing syringe services programs within the Veterans Health Administration: facility experiences and next steps. J Am Pharm Assoc (2003). 2023;63:234-240. doi:10.1016/j.japh.2022.10.019
  6. The Biden-Harris Administration’s Statement of Drug Policy Priorities for Year One. Executive Office of the President, Office of National Drug Control Policy. April 1, 2021. Accessed January 5, 2026. https://bidenwhitehouse.archives.gov/wp-content/uploads/2021/03/BidenHarris -Statement-of-Drug-Policy-Priorities-April-1.pdf
  7. HIV - for veterans and the public syringe services programs. US Department of Veterans Affairs. Updated August 16, 2021. Accessed January 5, 2026. https://www.hiv .va.gov/patient/ssp.asp
  8. Trump Administration’s Statement of Drug Policy Priorities. White House. April 1, 2025. Accessed January 7, 2026. https://www.whitehouse.gov/wp-content /uploads/2025/04/2025-Trump-Administration-Drug-Policy -Priorities.pdf
  9. Health Centers and Syringe Services Programs. National Health Care for the Homeless Council. May 2023. Accessed January 5, 2026. https://nhchc.org/wp-content /uploads/2023/06/Health-Centers-SSPs-Final.pdf
  10. Lynch RD, Biederman DJ, Silva S, Demasi K. A syringe service program within a federal system: foundations for implementation. J Addict Nurs. 2021;32:152-158. doi:10.1097/JAN.0000000000000402
  11. Harvey LH, Sliwinski SK, Flike K, et al. The integration of harm reduction services in the Veterans Health Administration (VHA): a qualitative analysis of barriers and facilitators. J Addict Dis. 2024;42:326-334. doi:10.1080/10550887.2023.2210021
  12. Drug Overdose Death Rates. National Center for Drug Abuse Statistics. Accessed January 5, 2026. https:// drugabusestatistics.org/drug-overdose-deaths
  13. Ng G. New database shows Baltimore greatly devastated by opioid epidemic. Updated August 21, 2023. Accessed January 5, 2026. https://www.wbaltv.com/article/opioid -epidemic-database-baltimore-deaths/44869671
  14. Introductory Guide to Academic Detailing. National Resource Center for Academic Detailing. 2017. Accessed January 5, 2026. https://www.narcad.org /uploads/5/7/9/5/57955981/introductory_guide_to_ad.pdf
  15. Zhang J. Can educational outreach improve experts’ decision making? Evidence from a national opioid academic detailing program. SSRN. 2023;4297398. doi:10.2139/ssrn.4297398
  16. Watson H, Maclaren W, Kerr S. Staff attitudes towards working with drug users: development of the Drug Problems Perceptions Questionnaire. Addiction. 2007;102:206- 215. doi:10.1111/j.1360-0443.2006.01686.x
  17. Dahl RA, Vakkalanka JP, Harland KK, Radke J. Investigating healthcare provider bias toward patients who use drugs using a survey-based implicit association test: pilot study. J Addict Med. 2022;16:557-562. doi:10.1097/ADM.0000000000000970
  18. Hiatt JM, Creasey TJ. Change Management: The People Side of Change. Prosci Learning Center Publications; 2012.
  19. Wyse JJ, Shull S, Lindner S, et al. Access to medications for opioid use disorder in rural versus urban Veterans Health Administration facilities. J Gen Intern Med. 2023;38:1871-1876. doi:10.1007/s11606-023-08027-4
  20. Mostofian F, Ruban C, Simunovic N, Bhandari M. Changing physician behavior: what works?. Am J Manag Care. 2015;21(1):75-84.
  21. Bergdorf-Smith K, Bridge Initiative for S&T Policy, Leadership, and Communications. Syringe Service Programs and HIV Prevention in West Virginia. West Virginia University. February 5, 2024. Accessed January 5, 2026. https:// scitechpolicy.wvu.edu/science-and-technology-notes -articles/2024/02/05/syringe-service-programs-and-hiv -prevention-in-west-virginia
  22. Brunsdon N. Stop saying ‘clean’. Injecting Advice. February 7, 2011. Accessed January 5, 2026. https:// injectingadvice.com/stop-saying-clean/
References
  1. Use of funds to supply hypodermic needles or syringes for illegal drug use; prohibition, 42 USC § 300ee-5 (1988). Accessed January 5, 2026. https://www.law.cornell.edu /uscode/text/42/300ee-5
  2. OD2A Case Study: Harm Reduction. Centers for Disease Control and Prevention. June 9, 2025. Accessed January 5, 2026. https://www.cdc.gov/overdose-prevention/php /od2a/harm-reduction.html
  3. Strengthening Syringe Services Programs (SSPs). Centers for Disease Control and Prevention. March 20, 2024. Accessed January 5, 2026. https://www.cdc.gov/hepatitis -syringe-services/php/about/index.html
  4. Weinmeyer R. Needle exchange programs’ status in US politics. AMA J Ethics. 2016;18:252-257. doi:10.1001/journalofethics.2016.18.3.hlaw1-1603
  5. Rife-Pennington T, Dinges E, Ho MQ. Implementing syringe services programs within the Veterans Health Administration: facility experiences and next steps. J Am Pharm Assoc (2003). 2023;63:234-240. doi:10.1016/j.japh.2022.10.019
  6. The Biden-Harris Administration’s Statement of Drug Policy Priorities for Year One. Executive Office of the President, Office of National Drug Control Policy. April 1, 2021. Accessed January 5, 2026. https://bidenwhitehouse.archives.gov/wp-content/uploads/2021/03/BidenHarris -Statement-of-Drug-Policy-Priorities-April-1.pdf
  7. HIV - for veterans and the public syringe services programs. US Department of Veterans Affairs. Updated August 16, 2021. Accessed January 5, 2026. https://www.hiv .va.gov/patient/ssp.asp
  8. Trump Administration’s Statement of Drug Policy Priorities. White House. April 1, 2025. Accessed January 7, 2026. https://www.whitehouse.gov/wp-content /uploads/2025/04/2025-Trump-Administration-Drug-Policy -Priorities.pdf
  9. Health Centers and Syringe Services Programs. National Health Care for the Homeless Council. May 2023. Accessed January 5, 2026. https://nhchc.org/wp-content /uploads/2023/06/Health-Centers-SSPs-Final.pdf
  10. Lynch RD, Biederman DJ, Silva S, Demasi K. A syringe service program within a federal system: foundations for implementation. J Addict Nurs. 2021;32:152-158. doi:10.1097/JAN.0000000000000402
  11. Harvey LH, Sliwinski SK, Flike K, et al. The integration of harm reduction services in the Veterans Health Administration (VHA): a qualitative analysis of barriers and facilitators. J Addict Dis. 2024;42:326-334. doi:10.1080/10550887.2023.2210021
  12. Drug Overdose Death Rates. National Center for Drug Abuse Statistics. Accessed January 5, 2026. https:// drugabusestatistics.org/drug-overdose-deaths
  13. Ng G. New database shows Baltimore greatly devastated by opioid epidemic. Updated August 21, 2023. Accessed January 5, 2026. https://www.wbaltv.com/article/opioid -epidemic-database-baltimore-deaths/44869671
  14. Introductory Guide to Academic Detailing. National Resource Center for Academic Detailing. 2017. Accessed January 5, 2026. https://www.narcad.org /uploads/5/7/9/5/57955981/introductory_guide_to_ad.pdf
  15. Zhang J. Can educational outreach improve experts’ decision making? Evidence from a national opioid academic detailing program. SSRN. 2023;4297398. doi:10.2139/ssrn.4297398
  16. Watson H, Maclaren W, Kerr S. Staff attitudes towards working with drug users: development of the Drug Problems Perceptions Questionnaire. Addiction. 2007;102:206- 215. doi:10.1111/j.1360-0443.2006.01686.x
  17. Dahl RA, Vakkalanka JP, Harland KK, Radke J. Investigating healthcare provider bias toward patients who use drugs using a survey-based implicit association test: pilot study. J Addict Med. 2022;16:557-562. doi:10.1097/ADM.0000000000000970
  18. Hiatt JM, Creasey TJ. Change Management: The People Side of Change. Prosci Learning Center Publications; 2012.
  19. Wyse JJ, Shull S, Lindner S, et al. Access to medications for opioid use disorder in rural versus urban Veterans Health Administration facilities. J Gen Intern Med. 2023;38:1871-1876. doi:10.1007/s11606-023-08027-4
  20. Mostofian F, Ruban C, Simunovic N, Bhandari M. Changing physician behavior: what works?. Am J Manag Care. 2015;21(1):75-84.
  21. Bergdorf-Smith K, Bridge Initiative for S&T Policy, Leadership, and Communications. Syringe Service Programs and HIV Prevention in West Virginia. West Virginia University. February 5, 2024. Accessed January 5, 2026. https:// scitechpolicy.wvu.edu/science-and-technology-notes -articles/2024/02/05/syringe-service-programs-and-hiv -prevention-in-west-virginia
  22. Brunsdon N. Stop saying ‘clean’. Injecting Advice. February 7, 2011. Accessed January 5, 2026. https:// injectingadvice.com/stop-saying-clean/
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Does Cannabis Really Help PTSD? New Data Cast Doubt

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New research challenges the assumption that long-term cannabis use improves symptoms or functioning in posttraumatic stress disorder (PTSD).

On the contrary, researchers found that abstaining from cannabis for 3 months was associated with significantly greater reductions in PTSD symptoms in adults with PTSD and comorbid cannabis use disorder (CUD).

The data suggest that continued cannabis use could limit recovery in some domains — underscoring the need to routinely assess cannabis use during PTSD treatment and to educate patients on the potential consequences of continued use, the researchers said. 

The study was published online February 18 in the Journal of Clinical Psychiatry

Helpful or Harmful? 

PTSD is a debilitating psychiatric condition marked by intrusive memories, avoidance, negative changes in mood and cognition, and hyperarousal. Many patients turn to cannabis to ease symptoms. In one recent study, roughly 28% of individuals with PTSD reported past-year cannabis use and 9% met criteria for CUD. 

Although some studies have suggested PTSD symptom reduction with cannabis or cannabinoid-based treatments, others have identified potential risks, such as disrupted fear-extinction learning and worse clinical and treatment outcomes. 

A recent systematic review found mixed evidence overall, with six studies suggesting benefits, five reporting worsening of symptoms, and three showing no significant impact of cannabis use in the setting of PTSD.

Led by Ahmed Hassan, MD, University of Toronto, Ontario, the researchers recruited adults aged 18-65 years with confirmed PTSD and CUD through the Centre for Addiction and Mental Health in Toronto and asked them to discontinue cannabis for 12 weeks.

Abstinence was defined as a urine 11-nor-9-carboxy-tetrahydrocannabinol level of 50 ng/mL or lower with no self-reported use, verified at multiple timepoints. Participants received escalating cash incentives for remaining abstinent at weeks 4, 8, and 12.

Eleven (52%) of the 21 participants who completed the 12-week protocol achieved biochemically verified abstinence, while 10 did not.

Those who achieved abstinence reported significantly greater reductions in total PTSD symptom severity and symptom count compared to those who did not. 

Total severity scores on the Clinician-Administered PTSD Scale for DSM-5 dropped from 36.2 at baseline to 10.5 at week 12 among abstainers vs 34.6 to 21.8 among those who did not maintain abstinence (= .001).

A similar pattern emerged for total symptom count, with abstinent participants dropping from 14.3 symptoms at baseline to 4.1 at week 12, compared to a decrease from 13.5 to 8.9 among nonabstainers.

Notably, the investigators observed that individuals who remained abstinent showed greater reductions in several core symptom clusters, including avoidance, negative alterations in mood, cognition, and hyperarousal — domains that are often cited as targets for cannabis-based self-medication among individuals with PTSD. 

“However, in this comorbid PTSD and CUD sample, sustained cannabis abstinence was associated with symptom improvement, thereby challenging assumptions about its clinical utility in this population,” they wrote. 

Interestingly, they added that there were no differential effects on reexperiencing symptoms such as flashbacks, intrusive memories, and nightmares. Both abstinent and nonabstinent participants reported similar improvements in reexperiencing, suggesting that factors unrelated to cannabis use may have contributed to symptom change or insufficient power, the authors said. 

The researchers called for larger randomized trials to “replicate and extend” these preliminary findings and to investigate mechanisms through which abstinence may relate to symptom changes in PTSD with CUD.

The study had no commercial funding. The authors had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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New research challenges the assumption that long-term cannabis use improves symptoms or functioning in posttraumatic stress disorder (PTSD).

On the contrary, researchers found that abstaining from cannabis for 3 months was associated with significantly greater reductions in PTSD symptoms in adults with PTSD and comorbid cannabis use disorder (CUD).

The data suggest that continued cannabis use could limit recovery in some domains — underscoring the need to routinely assess cannabis use during PTSD treatment and to educate patients on the potential consequences of continued use, the researchers said. 

The study was published online February 18 in the Journal of Clinical Psychiatry

Helpful or Harmful? 

PTSD is a debilitating psychiatric condition marked by intrusive memories, avoidance, negative changes in mood and cognition, and hyperarousal. Many patients turn to cannabis to ease symptoms. In one recent study, roughly 28% of individuals with PTSD reported past-year cannabis use and 9% met criteria for CUD. 

Although some studies have suggested PTSD symptom reduction with cannabis or cannabinoid-based treatments, others have identified potential risks, such as disrupted fear-extinction learning and worse clinical and treatment outcomes. 

A recent systematic review found mixed evidence overall, with six studies suggesting benefits, five reporting worsening of symptoms, and three showing no significant impact of cannabis use in the setting of PTSD.

Led by Ahmed Hassan, MD, University of Toronto, Ontario, the researchers recruited adults aged 18-65 years with confirmed PTSD and CUD through the Centre for Addiction and Mental Health in Toronto and asked them to discontinue cannabis for 12 weeks.

Abstinence was defined as a urine 11-nor-9-carboxy-tetrahydrocannabinol level of 50 ng/mL or lower with no self-reported use, verified at multiple timepoints. Participants received escalating cash incentives for remaining abstinent at weeks 4, 8, and 12.

Eleven (52%) of the 21 participants who completed the 12-week protocol achieved biochemically verified abstinence, while 10 did not.

Those who achieved abstinence reported significantly greater reductions in total PTSD symptom severity and symptom count compared to those who did not. 

Total severity scores on the Clinician-Administered PTSD Scale for DSM-5 dropped from 36.2 at baseline to 10.5 at week 12 among abstainers vs 34.6 to 21.8 among those who did not maintain abstinence (= .001).

A similar pattern emerged for total symptom count, with abstinent participants dropping from 14.3 symptoms at baseline to 4.1 at week 12, compared to a decrease from 13.5 to 8.9 among nonabstainers.

Notably, the investigators observed that individuals who remained abstinent showed greater reductions in several core symptom clusters, including avoidance, negative alterations in mood, cognition, and hyperarousal — domains that are often cited as targets for cannabis-based self-medication among individuals with PTSD. 

“However, in this comorbid PTSD and CUD sample, sustained cannabis abstinence was associated with symptom improvement, thereby challenging assumptions about its clinical utility in this population,” they wrote. 

Interestingly, they added that there were no differential effects on reexperiencing symptoms such as flashbacks, intrusive memories, and nightmares. Both abstinent and nonabstinent participants reported similar improvements in reexperiencing, suggesting that factors unrelated to cannabis use may have contributed to symptom change or insufficient power, the authors said. 

The researchers called for larger randomized trials to “replicate and extend” these preliminary findings and to investigate mechanisms through which abstinence may relate to symptom changes in PTSD with CUD.

The study had no commercial funding. The authors had no relevant disclosures.

A version of this article first appeared on Medscape.com.

New research challenges the assumption that long-term cannabis use improves symptoms or functioning in posttraumatic stress disorder (PTSD).

On the contrary, researchers found that abstaining from cannabis for 3 months was associated with significantly greater reductions in PTSD symptoms in adults with PTSD and comorbid cannabis use disorder (CUD).

The data suggest that continued cannabis use could limit recovery in some domains — underscoring the need to routinely assess cannabis use during PTSD treatment and to educate patients on the potential consequences of continued use, the researchers said. 

The study was published online February 18 in the Journal of Clinical Psychiatry

Helpful or Harmful? 

PTSD is a debilitating psychiatric condition marked by intrusive memories, avoidance, negative changes in mood and cognition, and hyperarousal. Many patients turn to cannabis to ease symptoms. In one recent study, roughly 28% of individuals with PTSD reported past-year cannabis use and 9% met criteria for CUD. 

Although some studies have suggested PTSD symptom reduction with cannabis or cannabinoid-based treatments, others have identified potential risks, such as disrupted fear-extinction learning and worse clinical and treatment outcomes. 

A recent systematic review found mixed evidence overall, with six studies suggesting benefits, five reporting worsening of symptoms, and three showing no significant impact of cannabis use in the setting of PTSD.

Led by Ahmed Hassan, MD, University of Toronto, Ontario, the researchers recruited adults aged 18-65 years with confirmed PTSD and CUD through the Centre for Addiction and Mental Health in Toronto and asked them to discontinue cannabis for 12 weeks.

Abstinence was defined as a urine 11-nor-9-carboxy-tetrahydrocannabinol level of 50 ng/mL or lower with no self-reported use, verified at multiple timepoints. Participants received escalating cash incentives for remaining abstinent at weeks 4, 8, and 12.

Eleven (52%) of the 21 participants who completed the 12-week protocol achieved biochemically verified abstinence, while 10 did not.

Those who achieved abstinence reported significantly greater reductions in total PTSD symptom severity and symptom count compared to those who did not. 

Total severity scores on the Clinician-Administered PTSD Scale for DSM-5 dropped from 36.2 at baseline to 10.5 at week 12 among abstainers vs 34.6 to 21.8 among those who did not maintain abstinence (= .001).

A similar pattern emerged for total symptom count, with abstinent participants dropping from 14.3 symptoms at baseline to 4.1 at week 12, compared to a decrease from 13.5 to 8.9 among nonabstainers.

Notably, the investigators observed that individuals who remained abstinent showed greater reductions in several core symptom clusters, including avoidance, negative alterations in mood, cognition, and hyperarousal — domains that are often cited as targets for cannabis-based self-medication among individuals with PTSD. 

“However, in this comorbid PTSD and CUD sample, sustained cannabis abstinence was associated with symptom improvement, thereby challenging assumptions about its clinical utility in this population,” they wrote. 

Interestingly, they added that there were no differential effects on reexperiencing symptoms such as flashbacks, intrusive memories, and nightmares. Both abstinent and nonabstinent participants reported similar improvements in reexperiencing, suggesting that factors unrelated to cannabis use may have contributed to symptom change or insufficient power, the authors said. 

The researchers called for larger randomized trials to “replicate and extend” these preliminary findings and to investigate mechanisms through which abstinence may relate to symptom changes in PTSD with CUD.

The study had no commercial funding. The authors had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Mortality Data Reveals How US Service Members and Veterans Died in 21st Century

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US service members and veterans were less likely to die than the general population from most causes of death over a 17-year period, a population-based, prospective analysis found. But there was a glaring exception: suicide by firearm.

Among 201,618 subjects tracked from 2001 to 2018 by the Millennium Cohort Study, the overall death rate was less than half that of a comparable group of US adults (standardized mortality ratios [SMR], 0.44), reported Edward J. Boyko, MD, MPH, staff physician with the Veterans Affairs (VA) Puget Sound Health Care System and professor of medicine at the University of Washington, Seattle, and colleagues in BMC Public Health. However, suicides by firearm—while rare—were more common overall (SMR, 1.42), among military men only (SMR, 1.33), and among military women only (SMR, 2.83) than civilians. 

The findings about the overall death rate may reflect the better health of those who join the military and have access to health care during and after service, Boyko told Federal Practitioner. The suicide data may reflect higher access to firearms, he said, although “more research is needed to identify what types of military exposures or physical and mental health predictors are associated with increased mortality risk due to suicide.”

The ongoing Millennium Cohort Study began in 2001 to track the health of military personnel over time. The study has spawned > 180 reports “used to inform and guide policy, guidelines, and health promotion efforts within the military and VA,” Boyko said. “As the Millennium Cohort Study approaches its 25-year anniversary, it seemed like an ideal time to assess mortality, especially cause-specific mortality, as a way to measure the impact of military service on long-term health.”

The analysis tracks 4 panels of subjects enrolled at various times between 2001 and 2013. Of the 201,619 participants, 3018 (1.5%) died by 2018. Of the 198,01 nondeceased participants, 69.2% were male; 8.1% were born before 1960, 16.1% were born from 1960 to 1969, 24.4% were born from 1970 to 1979, and 51.5% were born in or after 1980. The racial/ethnic makeup was 72.7% non-Hispanic White, 12.2% non-Hispanic Black, 7.9% Hispanic, and 7.1% other. Two-thirds (66.4%) were active duty, and 33.6% were in the Reserve or National Guard.

Of the 3018 deceased participants, 81.2% were male. In terms of birth year, 32.4% were born before 1960, 22.1% were born from 1960 to 1969, 18.2% were born from 1970 to 1979, and 27.3% were born in or after 1980. The racial/ethnic makeup was 77.7% non-Hispanic White, 11.9% non-Hispanic Black, 5.5% Hispanic, and 4.9% other. About half (51.0%) were active duty, and 49.0% were in the Reserve or National Guard.

Most deaths were due to natural causes (57.0%), followed by accident (20.1%), suicide (17.1%), operations of war (3.0%), homicide (2.1%), and other causes (1.2%). The new report noted that the Millennium Cohort Study and other research have identified a “healthy soldier effect, in which military populations tend to be healthier than the general US population.”

Boyko explained that “the fitness requirements for joining the military may favor the selection of healthier individuals from the general population. Another benefit of military service is free access to health care, especially among those on active duty, as well as eligibility for VA health care and other benefits after leaving service. This would allow for greater access to preventive care and treatments, as well as routine screening for health conditions such as cancer, diabetes, or cardiovascular disease.”

Overall suicide rates were higher among female subjects than among civilians (SMR, 1.65), but no statistically significant difference was seen in men (SMR, 0.96) or across all participants (SMR, 1.03). Regarding the large gaps in firearm suicide rates in military subjects vs civilians, Boyko said, “accessibility and familiarity with firearms, a highly lethal means of suicide, may be driving the elevated risk of suicide by firearms … prior research has found that unsecure firearms storage—such as unlocked, loaded firearms—increases the risk of suicide by firearms.”

Rachel Sayko Adams, PhD, MPH, a research associate professor with the Department of Health Law, Policy and Management at Boston University School of Public Health, is familiar with the study findings. Adams, a principal investigator at the VA Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, told Federal Practitioner that “efforts to further develop suicide prevention programs that consider the unique needs and preferences of female service members and veterans are critical to prevent future suicide mortality in this population.”

Adams added: “Just because service members and veterans have a lower all-cause mortality rate compared to the general US population, we should not assume that they are universally low risk or that we can reduce our public health prevention efforts targeting this population.”

Boyko highlighted KeepItSecure.net, which “helps veterans and service members protect themselves and their families by making it easier to store firearms securely during stressful or high-risk periods.” The site offers practical, judgment-free guidance with powerful storytelling and public outreach, with clear, actionable steps—such as using a cable gun lock or lockboxto lower suicide risk long before a crisis occurs. The VA, Boyko said, provides free cable gun locks nationwide.

The Millennium Cohort Study is funded by the Department of Veterans Affairs and Department of Defense Military Operational Medicine Research Program and Defense Health Program. The report authors and Adams have no disclosures. 

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US service members and veterans were less likely to die than the general population from most causes of death over a 17-year period, a population-based, prospective analysis found. But there was a glaring exception: suicide by firearm.

Among 201,618 subjects tracked from 2001 to 2018 by the Millennium Cohort Study, the overall death rate was less than half that of a comparable group of US adults (standardized mortality ratios [SMR], 0.44), reported Edward J. Boyko, MD, MPH, staff physician with the Veterans Affairs (VA) Puget Sound Health Care System and professor of medicine at the University of Washington, Seattle, and colleagues in BMC Public Health. However, suicides by firearm—while rare—were more common overall (SMR, 1.42), among military men only (SMR, 1.33), and among military women only (SMR, 2.83) than civilians. 

The findings about the overall death rate may reflect the better health of those who join the military and have access to health care during and after service, Boyko told Federal Practitioner. The suicide data may reflect higher access to firearms, he said, although “more research is needed to identify what types of military exposures or physical and mental health predictors are associated with increased mortality risk due to suicide.”

The ongoing Millennium Cohort Study began in 2001 to track the health of military personnel over time. The study has spawned > 180 reports “used to inform and guide policy, guidelines, and health promotion efforts within the military and VA,” Boyko said. “As the Millennium Cohort Study approaches its 25-year anniversary, it seemed like an ideal time to assess mortality, especially cause-specific mortality, as a way to measure the impact of military service on long-term health.”

The analysis tracks 4 panels of subjects enrolled at various times between 2001 and 2013. Of the 201,619 participants, 3018 (1.5%) died by 2018. Of the 198,01 nondeceased participants, 69.2% were male; 8.1% were born before 1960, 16.1% were born from 1960 to 1969, 24.4% were born from 1970 to 1979, and 51.5% were born in or after 1980. The racial/ethnic makeup was 72.7% non-Hispanic White, 12.2% non-Hispanic Black, 7.9% Hispanic, and 7.1% other. Two-thirds (66.4%) were active duty, and 33.6% were in the Reserve or National Guard.

Of the 3018 deceased participants, 81.2% were male. In terms of birth year, 32.4% were born before 1960, 22.1% were born from 1960 to 1969, 18.2% were born from 1970 to 1979, and 27.3% were born in or after 1980. The racial/ethnic makeup was 77.7% non-Hispanic White, 11.9% non-Hispanic Black, 5.5% Hispanic, and 4.9% other. About half (51.0%) were active duty, and 49.0% were in the Reserve or National Guard.

Most deaths were due to natural causes (57.0%), followed by accident (20.1%), suicide (17.1%), operations of war (3.0%), homicide (2.1%), and other causes (1.2%). The new report noted that the Millennium Cohort Study and other research have identified a “healthy soldier effect, in which military populations tend to be healthier than the general US population.”

Boyko explained that “the fitness requirements for joining the military may favor the selection of healthier individuals from the general population. Another benefit of military service is free access to health care, especially among those on active duty, as well as eligibility for VA health care and other benefits after leaving service. This would allow for greater access to preventive care and treatments, as well as routine screening for health conditions such as cancer, diabetes, or cardiovascular disease.”

Overall suicide rates were higher among female subjects than among civilians (SMR, 1.65), but no statistically significant difference was seen in men (SMR, 0.96) or across all participants (SMR, 1.03). Regarding the large gaps in firearm suicide rates in military subjects vs civilians, Boyko said, “accessibility and familiarity with firearms, a highly lethal means of suicide, may be driving the elevated risk of suicide by firearms … prior research has found that unsecure firearms storage—such as unlocked, loaded firearms—increases the risk of suicide by firearms.”

Rachel Sayko Adams, PhD, MPH, a research associate professor with the Department of Health Law, Policy and Management at Boston University School of Public Health, is familiar with the study findings. Adams, a principal investigator at the VA Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, told Federal Practitioner that “efforts to further develop suicide prevention programs that consider the unique needs and preferences of female service members and veterans are critical to prevent future suicide mortality in this population.”

Adams added: “Just because service members and veterans have a lower all-cause mortality rate compared to the general US population, we should not assume that they are universally low risk or that we can reduce our public health prevention efforts targeting this population.”

Boyko highlighted KeepItSecure.net, which “helps veterans and service members protect themselves and their families by making it easier to store firearms securely during stressful or high-risk periods.” The site offers practical, judgment-free guidance with powerful storytelling and public outreach, with clear, actionable steps—such as using a cable gun lock or lockboxto lower suicide risk long before a crisis occurs. The VA, Boyko said, provides free cable gun locks nationwide.

The Millennium Cohort Study is funded by the Department of Veterans Affairs and Department of Defense Military Operational Medicine Research Program and Defense Health Program. The report authors and Adams have no disclosures. 

US service members and veterans were less likely to die than the general population from most causes of death over a 17-year period, a population-based, prospective analysis found. But there was a glaring exception: suicide by firearm.

Among 201,618 subjects tracked from 2001 to 2018 by the Millennium Cohort Study, the overall death rate was less than half that of a comparable group of US adults (standardized mortality ratios [SMR], 0.44), reported Edward J. Boyko, MD, MPH, staff physician with the Veterans Affairs (VA) Puget Sound Health Care System and professor of medicine at the University of Washington, Seattle, and colleagues in BMC Public Health. However, suicides by firearm—while rare—were more common overall (SMR, 1.42), among military men only (SMR, 1.33), and among military women only (SMR, 2.83) than civilians. 

The findings about the overall death rate may reflect the better health of those who join the military and have access to health care during and after service, Boyko told Federal Practitioner. The suicide data may reflect higher access to firearms, he said, although “more research is needed to identify what types of military exposures or physical and mental health predictors are associated with increased mortality risk due to suicide.”

The ongoing Millennium Cohort Study began in 2001 to track the health of military personnel over time. The study has spawned > 180 reports “used to inform and guide policy, guidelines, and health promotion efforts within the military and VA,” Boyko said. “As the Millennium Cohort Study approaches its 25-year anniversary, it seemed like an ideal time to assess mortality, especially cause-specific mortality, as a way to measure the impact of military service on long-term health.”

The analysis tracks 4 panels of subjects enrolled at various times between 2001 and 2013. Of the 201,619 participants, 3018 (1.5%) died by 2018. Of the 198,01 nondeceased participants, 69.2% were male; 8.1% were born before 1960, 16.1% were born from 1960 to 1969, 24.4% were born from 1970 to 1979, and 51.5% were born in or after 1980. The racial/ethnic makeup was 72.7% non-Hispanic White, 12.2% non-Hispanic Black, 7.9% Hispanic, and 7.1% other. Two-thirds (66.4%) were active duty, and 33.6% were in the Reserve or National Guard.

Of the 3018 deceased participants, 81.2% were male. In terms of birth year, 32.4% were born before 1960, 22.1% were born from 1960 to 1969, 18.2% were born from 1970 to 1979, and 27.3% were born in or after 1980. The racial/ethnic makeup was 77.7% non-Hispanic White, 11.9% non-Hispanic Black, 5.5% Hispanic, and 4.9% other. About half (51.0%) were active duty, and 49.0% were in the Reserve or National Guard.

Most deaths were due to natural causes (57.0%), followed by accident (20.1%), suicide (17.1%), operations of war (3.0%), homicide (2.1%), and other causes (1.2%). The new report noted that the Millennium Cohort Study and other research have identified a “healthy soldier effect, in which military populations tend to be healthier than the general US population.”

Boyko explained that “the fitness requirements for joining the military may favor the selection of healthier individuals from the general population. Another benefit of military service is free access to health care, especially among those on active duty, as well as eligibility for VA health care and other benefits after leaving service. This would allow for greater access to preventive care and treatments, as well as routine screening for health conditions such as cancer, diabetes, or cardiovascular disease.”

Overall suicide rates were higher among female subjects than among civilians (SMR, 1.65), but no statistically significant difference was seen in men (SMR, 0.96) or across all participants (SMR, 1.03). Regarding the large gaps in firearm suicide rates in military subjects vs civilians, Boyko said, “accessibility and familiarity with firearms, a highly lethal means of suicide, may be driving the elevated risk of suicide by firearms … prior research has found that unsecure firearms storage—such as unlocked, loaded firearms—increases the risk of suicide by firearms.”

Rachel Sayko Adams, PhD, MPH, a research associate professor with the Department of Health Law, Policy and Management at Boston University School of Public Health, is familiar with the study findings. Adams, a principal investigator at the VA Rocky Mountain Mental Illness Research, Education and Clinical Center for Suicide Prevention, told Federal Practitioner that “efforts to further develop suicide prevention programs that consider the unique needs and preferences of female service members and veterans are critical to prevent future suicide mortality in this population.”

Adams added: “Just because service members and veterans have a lower all-cause mortality rate compared to the general US population, we should not assume that they are universally low risk or that we can reduce our public health prevention efforts targeting this population.”

Boyko highlighted KeepItSecure.net, which “helps veterans and service members protect themselves and their families by making it easier to store firearms securely during stressful or high-risk periods.” The site offers practical, judgment-free guidance with powerful storytelling and public outreach, with clear, actionable steps—such as using a cable gun lock or lockboxto lower suicide risk long before a crisis occurs. The VA, Boyko said, provides free cable gun locks nationwide.

The Millennium Cohort Study is funded by the Department of Veterans Affairs and Department of Defense Military Operational Medicine Research Program and Defense Health Program. The report authors and Adams have no disclosures. 

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Veteran Suicide Rate Declines Slightly, VA Report Shows

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Veteran Suicide Rate Declines Slightly, VA Report Shows

Fewer veterans died by suicide in 2023 than 2022, according to the recently released 2025 National Veteran Suicide Prevention Annual Report from the US Department of Veterans Affairs (VA).

More than half of suicides, the Veterans Health Administration (VHA) found, were driven by pain (52.3%) or sleep problems (51.5%). Increased health problems were factors in 43.1% of cases, particularly traumatic brain injury (TBI) and cancer diagnosis. The suicide rate was 77.6 per 100,000 for veterans with a recent diagnosis of TBI, 94.3% higher than the rate of individuals without such a diagnosis. The suicide rate following a cancer diagnosis was 10.3% higher than for other veterans in VHA care—emphasizing the need, according to the VHA, to continue to expand efforts to integrate suicide prevention resources across all areas serving high-risk veteran groups.

VA has published the National Veteran Suicide Prevention report annually since 2016, with its release typically occurring in December. Release of the 2025 report was delayed until February 2026. The VA attributed the delay, however, due to the federal government shutdown from October 1 to November 12, 2025. At a January 2026 Senate Veterans’ Affairs Committee hearing, VA Secretary Doug Collins denied that there was an effort to halt its release.

Veteran deaths by suicide have often been called an epidemic, with the suicide rate having risen faster for veterans than it has for nonveterans since 2005. Veterans are 1.5 times more likely to die by suicide, a statistic that led Collins, veteran advocates, and members of Congress to identify veteran suicide prevention as a top priority.

The report indicates that the number of veteran suicides per year has remained relatively constant in the 6 most recent years of available data: 6738 in 2018, 6510 in 2019, 6347 in 2020, 6429 in 2021, 6442 in 2022, and 6398 in 2023. The fewest veteran suicides in the last 25 years happened both in 2001 and 2004 (6021), while the most (6738) came in 2018.

Although the overall veteran population has declined over time, more veterans are enrolling in VHA care, increasing from 3.8 million in 2001 to 6.1 million in 2023. However, the VHA found that 61% of veterans who died by suicide in 2023 were not receiving VHA care in the final year of their life.

The suicide rate among veterans in VHA care with mental health or substance use disorder diagnoses fell 34.7%, highlighting “the importance of both strengthening VA’s direct care system and expanding outreach and suicide prevention efforts for veterans who are not engaged in VHA health care,” Sen. Richard Blumenthal (D-CT), Ranking Member on the Senate Veterans’ Affairs Committee, said in a Feb. 5 statement about the report. 

Aligning with previous VA data, the report presented information suggesting VHA services such as the Veterans Crisis Line (VCL) may reduce veteran suicide rates. Twelve months after the first contact with the VCL, the suicide rate for veterans in VHA care in 2022 was 16.1% lower than for those in 2021. 

More than 2800 local and state coalitions are “actively working to meet community needs, expand available resources, and raise awareness” about suicide risks and prevention, the report says. The Staff Sergeant Parker Gordon Fox Suicide Prevention Grants Program, for example, provides community-based services for veterans, service members, and their families.

“Veteran suicide has been a scourge on our nation for far too long,” Collins said in a press release. “Most veterans who die by suicide were not in recent VA care, so making it easier for those who have worn the uniform to access the VA benefits they have earned is key.”

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Fewer veterans died by suicide in 2023 than 2022, according to the recently released 2025 National Veteran Suicide Prevention Annual Report from the US Department of Veterans Affairs (VA).

More than half of suicides, the Veterans Health Administration (VHA) found, were driven by pain (52.3%) or sleep problems (51.5%). Increased health problems were factors in 43.1% of cases, particularly traumatic brain injury (TBI) and cancer diagnosis. The suicide rate was 77.6 per 100,000 for veterans with a recent diagnosis of TBI, 94.3% higher than the rate of individuals without such a diagnosis. The suicide rate following a cancer diagnosis was 10.3% higher than for other veterans in VHA care—emphasizing the need, according to the VHA, to continue to expand efforts to integrate suicide prevention resources across all areas serving high-risk veteran groups.

VA has published the National Veteran Suicide Prevention report annually since 2016, with its release typically occurring in December. Release of the 2025 report was delayed until February 2026. The VA attributed the delay, however, due to the federal government shutdown from October 1 to November 12, 2025. At a January 2026 Senate Veterans’ Affairs Committee hearing, VA Secretary Doug Collins denied that there was an effort to halt its release.

Veteran deaths by suicide have often been called an epidemic, with the suicide rate having risen faster for veterans than it has for nonveterans since 2005. Veterans are 1.5 times more likely to die by suicide, a statistic that led Collins, veteran advocates, and members of Congress to identify veteran suicide prevention as a top priority.

The report indicates that the number of veteran suicides per year has remained relatively constant in the 6 most recent years of available data: 6738 in 2018, 6510 in 2019, 6347 in 2020, 6429 in 2021, 6442 in 2022, and 6398 in 2023. The fewest veteran suicides in the last 25 years happened both in 2001 and 2004 (6021), while the most (6738) came in 2018.

Although the overall veteran population has declined over time, more veterans are enrolling in VHA care, increasing from 3.8 million in 2001 to 6.1 million in 2023. However, the VHA found that 61% of veterans who died by suicide in 2023 were not receiving VHA care in the final year of their life.

The suicide rate among veterans in VHA care with mental health or substance use disorder diagnoses fell 34.7%, highlighting “the importance of both strengthening VA’s direct care system and expanding outreach and suicide prevention efforts for veterans who are not engaged in VHA health care,” Sen. Richard Blumenthal (D-CT), Ranking Member on the Senate Veterans’ Affairs Committee, said in a Feb. 5 statement about the report. 

Aligning with previous VA data, the report presented information suggesting VHA services such as the Veterans Crisis Line (VCL) may reduce veteran suicide rates. Twelve months after the first contact with the VCL, the suicide rate for veterans in VHA care in 2022 was 16.1% lower than for those in 2021. 

More than 2800 local and state coalitions are “actively working to meet community needs, expand available resources, and raise awareness” about suicide risks and prevention, the report says. The Staff Sergeant Parker Gordon Fox Suicide Prevention Grants Program, for example, provides community-based services for veterans, service members, and their families.

“Veteran suicide has been a scourge on our nation for far too long,” Collins said in a press release. “Most veterans who die by suicide were not in recent VA care, so making it easier for those who have worn the uniform to access the VA benefits they have earned is key.”

Fewer veterans died by suicide in 2023 than 2022, according to the recently released 2025 National Veteran Suicide Prevention Annual Report from the US Department of Veterans Affairs (VA).

More than half of suicides, the Veterans Health Administration (VHA) found, were driven by pain (52.3%) or sleep problems (51.5%). Increased health problems were factors in 43.1% of cases, particularly traumatic brain injury (TBI) and cancer diagnosis. The suicide rate was 77.6 per 100,000 for veterans with a recent diagnosis of TBI, 94.3% higher than the rate of individuals without such a diagnosis. The suicide rate following a cancer diagnosis was 10.3% higher than for other veterans in VHA care—emphasizing the need, according to the VHA, to continue to expand efforts to integrate suicide prevention resources across all areas serving high-risk veteran groups.

VA has published the National Veteran Suicide Prevention report annually since 2016, with its release typically occurring in December. Release of the 2025 report was delayed until February 2026. The VA attributed the delay, however, due to the federal government shutdown from October 1 to November 12, 2025. At a January 2026 Senate Veterans’ Affairs Committee hearing, VA Secretary Doug Collins denied that there was an effort to halt its release.

Veteran deaths by suicide have often been called an epidemic, with the suicide rate having risen faster for veterans than it has for nonveterans since 2005. Veterans are 1.5 times more likely to die by suicide, a statistic that led Collins, veteran advocates, and members of Congress to identify veteran suicide prevention as a top priority.

The report indicates that the number of veteran suicides per year has remained relatively constant in the 6 most recent years of available data: 6738 in 2018, 6510 in 2019, 6347 in 2020, 6429 in 2021, 6442 in 2022, and 6398 in 2023. The fewest veteran suicides in the last 25 years happened both in 2001 and 2004 (6021), while the most (6738) came in 2018.

Although the overall veteran population has declined over time, more veterans are enrolling in VHA care, increasing from 3.8 million in 2001 to 6.1 million in 2023. However, the VHA found that 61% of veterans who died by suicide in 2023 were not receiving VHA care in the final year of their life.

The suicide rate among veterans in VHA care with mental health or substance use disorder diagnoses fell 34.7%, highlighting “the importance of both strengthening VA’s direct care system and expanding outreach and suicide prevention efforts for veterans who are not engaged in VHA health care,” Sen. Richard Blumenthal (D-CT), Ranking Member on the Senate Veterans’ Affairs Committee, said in a Feb. 5 statement about the report. 

Aligning with previous VA data, the report presented information suggesting VHA services such as the Veterans Crisis Line (VCL) may reduce veteran suicide rates. Twelve months after the first contact with the VCL, the suicide rate for veterans in VHA care in 2022 was 16.1% lower than for those in 2021. 

More than 2800 local and state coalitions are “actively working to meet community needs, expand available resources, and raise awareness” about suicide risks and prevention, the report says. The Staff Sergeant Parker Gordon Fox Suicide Prevention Grants Program, for example, provides community-based services for veterans, service members, and their families.

“Veteran suicide has been a scourge on our nation for far too long,” Collins said in a press release. “Most veterans who die by suicide were not in recent VA care, so making it easier for those who have worn the uniform to access the VA benefits they have earned is key.”

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Veteran Suicide Rate Declines Slightly, VA Report Shows

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Fibromyalgia-PTSD Link Shows Bidirectional Relationship With Exposure to Combat Environments

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Fibromyalgia-PTSD Link Shows Bidirectional Relationship With Exposure to Combat Environments

Spending time in a war zone can lead to chronic mental and physical pain. Now, research points to a link between two common disorders that can leave service members struggling.

Published in the journal Arthritis Care & Research, a longitudinal cohort study of 1761 US military service members found that those who had posttraumatic stress disorder (PTSD) before deployment were nearly 3times more likely to develop fibromyalgia after returning home (odds ratio, 2.96; 95% CI, 2.08-4.22). Those with fibromyalgia before deployment had more than threefold greater likelihood of developing PTSD after deployment (odds ratio, 3.12; 95% CI, 1.63-5.95).

This is the largest prospective study to date linking the stress of combat deployment to the onset of fibromyalgia.

“We had the advantage of observing a large population before and after exposure to an environment that often involves significant stress,” said lead study author Jay Higgs, MD, a retired rheumatologist with Brooke Army Medical Center and the University of Texas Health Science Center at San Antonio.

Here’s what the team found and why it matters.

Significant Increase in Fibromyalgia After Development

Service members were checked for fibromyalgia using the 2011 questionnaire modification of the 2010 American College of Rheumatology preliminary diagnostic criteria for fibromyalgia. They were assessed for PTSD using the PTSD Checklist Stressor-Specific Version.

Before deployment, service members had similar rates of fibromyalgia as the general population: 2.2% in men and 2.0% in women. After deployment, fibromyalgia rates increased significantly to 8.0% in men and 11.1% in women.

While fibromyalgia tends to be underreported in men, the findings suggest it should not be overlooked in this population. “Our results are consistent with the notion that there should be no gender bias when considering the possibility of fibromyalgia in an individual patient,” Higgs said.

Before deployment, 20.7% of men and 18.3% of women had PTSD symptoms. After deployment, the PTSD rate increased slightly to 22.7% in men and 25.5% in women.

The Link Between Fibromyalgia and PTSD

The researchers said the results suggest that PTSD and fibromyalgia might be linked through central nervous system mechanisms such as central sensitization, elevated hypothalamic-pituitary-adrenal axis activity, elevated cortisol, and proinflammatory cytokines. However, shared causation, associated risk factors, selection bias, or alternative mechanisms within the central and peripheral neuroendocrine and cytokine systems could also be part of the story.

“What we do not know is how much of what we see clinically represents central nervous system pathology, peripheral problems, or a combination of the 2,” Higgs said. “Neurotransmission in the central nervous system is highly complex, and may not only involve specific structures, but a web of communications between them.”

Loci in the midbrain appear especially important, he said.

Elizabeth Hoge, MD, professor and director of the Anxiety Disorders Research Program at Georgetown University School of Medicine, Washington, DC, said that patients with PTSD often have pain, headaches, sleep disturbances, and other symptoms that are part of the picture of fibromyalgia. It’s plausible that pain syndromes could be manifestations of PTSD or groupings of symptoms that suggest a subtype.

“Pain is one way that people experience distress, and we know that in PTSD, sometimes the trauma memories are encoded too strongly, more stressful and more alarming to the body system,” she said.

When patients have symptoms such as chronic pain, headaches, fatigue, or cognitive brain fog, clinicians should remember to ask about trauma exposure, Hoge said. You might be the first to broach the subject.

“I’ve certainly seen patients in clinic who never get asked about the exposure to trauma, including sexual trauma, so sometimes that can be the first pathway to helping people feel better is just to have their trauma recognized,” Hoge said.

If a patient has experienced or witnessed violence, consider a referral to a psychiatrist or psychologist to evaluate them for PTSD. Higgs said he collaborated closely with a psychologist to complement his treatment plans for active duty and retired military service members and families.

The US Department of Veterans Affairs and the Department of Defense (DoD) recommend trauma-focused psychotherapy as the first line of treatment for PTSD. This form of therapy deliberately focuses on bringing trauma memories into the open, Hoge said.

“When a person talks about their trauma, and it comes into direct consciousness, somehow it’s malleable, and so when it goes back down into the memory banks, it’s changed somewhat,” she said.

This study was supported by the DoD through awards from the US Army Medical Research and Materiel Command, Congressionally Directed Medical Research Programs, and Psychological Health and Traumatic Brain Injury Research Program. The funding organizations played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Higgs’s comments are his own and do not necessarily reflect the official policy or position of the Defense Health Agency, Brooke Army Medical Center, Carl R. Darnall Army Medical Center, the DoD, the Department of Veterans Affairs, or any agencies under the US government. Hoge had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Spending time in a war zone can lead to chronic mental and physical pain. Now, research points to a link between two common disorders that can leave service members struggling.

Published in the journal Arthritis Care & Research, a longitudinal cohort study of 1761 US military service members found that those who had posttraumatic stress disorder (PTSD) before deployment were nearly 3times more likely to develop fibromyalgia after returning home (odds ratio, 2.96; 95% CI, 2.08-4.22). Those with fibromyalgia before deployment had more than threefold greater likelihood of developing PTSD after deployment (odds ratio, 3.12; 95% CI, 1.63-5.95).

This is the largest prospective study to date linking the stress of combat deployment to the onset of fibromyalgia.

“We had the advantage of observing a large population before and after exposure to an environment that often involves significant stress,” said lead study author Jay Higgs, MD, a retired rheumatologist with Brooke Army Medical Center and the University of Texas Health Science Center at San Antonio.

Here’s what the team found and why it matters.

Significant Increase in Fibromyalgia After Development

Service members were checked for fibromyalgia using the 2011 questionnaire modification of the 2010 American College of Rheumatology preliminary diagnostic criteria for fibromyalgia. They were assessed for PTSD using the PTSD Checklist Stressor-Specific Version.

Before deployment, service members had similar rates of fibromyalgia as the general population: 2.2% in men and 2.0% in women. After deployment, fibromyalgia rates increased significantly to 8.0% in men and 11.1% in women.

While fibromyalgia tends to be underreported in men, the findings suggest it should not be overlooked in this population. “Our results are consistent with the notion that there should be no gender bias when considering the possibility of fibromyalgia in an individual patient,” Higgs said.

Before deployment, 20.7% of men and 18.3% of women had PTSD symptoms. After deployment, the PTSD rate increased slightly to 22.7% in men and 25.5% in women.

The Link Between Fibromyalgia and PTSD

The researchers said the results suggest that PTSD and fibromyalgia might be linked through central nervous system mechanisms such as central sensitization, elevated hypothalamic-pituitary-adrenal axis activity, elevated cortisol, and proinflammatory cytokines. However, shared causation, associated risk factors, selection bias, or alternative mechanisms within the central and peripheral neuroendocrine and cytokine systems could also be part of the story.

“What we do not know is how much of what we see clinically represents central nervous system pathology, peripheral problems, or a combination of the 2,” Higgs said. “Neurotransmission in the central nervous system is highly complex, and may not only involve specific structures, but a web of communications between them.”

Loci in the midbrain appear especially important, he said.

Elizabeth Hoge, MD, professor and director of the Anxiety Disorders Research Program at Georgetown University School of Medicine, Washington, DC, said that patients with PTSD often have pain, headaches, sleep disturbances, and other symptoms that are part of the picture of fibromyalgia. It’s plausible that pain syndromes could be manifestations of PTSD or groupings of symptoms that suggest a subtype.

“Pain is one way that people experience distress, and we know that in PTSD, sometimes the trauma memories are encoded too strongly, more stressful and more alarming to the body system,” she said.

When patients have symptoms such as chronic pain, headaches, fatigue, or cognitive brain fog, clinicians should remember to ask about trauma exposure, Hoge said. You might be the first to broach the subject.

“I’ve certainly seen patients in clinic who never get asked about the exposure to trauma, including sexual trauma, so sometimes that can be the first pathway to helping people feel better is just to have their trauma recognized,” Hoge said.

If a patient has experienced or witnessed violence, consider a referral to a psychiatrist or psychologist to evaluate them for PTSD. Higgs said he collaborated closely with a psychologist to complement his treatment plans for active duty and retired military service members and families.

The US Department of Veterans Affairs and the Department of Defense (DoD) recommend trauma-focused psychotherapy as the first line of treatment for PTSD. This form of therapy deliberately focuses on bringing trauma memories into the open, Hoge said.

“When a person talks about their trauma, and it comes into direct consciousness, somehow it’s malleable, and so when it goes back down into the memory banks, it’s changed somewhat,” she said.

This study was supported by the DoD through awards from the US Army Medical Research and Materiel Command, Congressionally Directed Medical Research Programs, and Psychological Health and Traumatic Brain Injury Research Program. The funding organizations played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Higgs’s comments are his own and do not necessarily reflect the official policy or position of the Defense Health Agency, Brooke Army Medical Center, Carl R. Darnall Army Medical Center, the DoD, the Department of Veterans Affairs, or any agencies under the US government. Hoge had no relevant disclosures.

A version of this article first appeared on Medscape.com.

Spending time in a war zone can lead to chronic mental and physical pain. Now, research points to a link between two common disorders that can leave service members struggling.

Published in the journal Arthritis Care & Research, a longitudinal cohort study of 1761 US military service members found that those who had posttraumatic stress disorder (PTSD) before deployment were nearly 3times more likely to develop fibromyalgia after returning home (odds ratio, 2.96; 95% CI, 2.08-4.22). Those with fibromyalgia before deployment had more than threefold greater likelihood of developing PTSD after deployment (odds ratio, 3.12; 95% CI, 1.63-5.95).

This is the largest prospective study to date linking the stress of combat deployment to the onset of fibromyalgia.

“We had the advantage of observing a large population before and after exposure to an environment that often involves significant stress,” said lead study author Jay Higgs, MD, a retired rheumatologist with Brooke Army Medical Center and the University of Texas Health Science Center at San Antonio.

Here’s what the team found and why it matters.

Significant Increase in Fibromyalgia After Development

Service members were checked for fibromyalgia using the 2011 questionnaire modification of the 2010 American College of Rheumatology preliminary diagnostic criteria for fibromyalgia. They were assessed for PTSD using the PTSD Checklist Stressor-Specific Version.

Before deployment, service members had similar rates of fibromyalgia as the general population: 2.2% in men and 2.0% in women. After deployment, fibromyalgia rates increased significantly to 8.0% in men and 11.1% in women.

While fibromyalgia tends to be underreported in men, the findings suggest it should not be overlooked in this population. “Our results are consistent with the notion that there should be no gender bias when considering the possibility of fibromyalgia in an individual patient,” Higgs said.

Before deployment, 20.7% of men and 18.3% of women had PTSD symptoms. After deployment, the PTSD rate increased slightly to 22.7% in men and 25.5% in women.

The Link Between Fibromyalgia and PTSD

The researchers said the results suggest that PTSD and fibromyalgia might be linked through central nervous system mechanisms such as central sensitization, elevated hypothalamic-pituitary-adrenal axis activity, elevated cortisol, and proinflammatory cytokines. However, shared causation, associated risk factors, selection bias, or alternative mechanisms within the central and peripheral neuroendocrine and cytokine systems could also be part of the story.

“What we do not know is how much of what we see clinically represents central nervous system pathology, peripheral problems, or a combination of the 2,” Higgs said. “Neurotransmission in the central nervous system is highly complex, and may not only involve specific structures, but a web of communications between them.”

Loci in the midbrain appear especially important, he said.

Elizabeth Hoge, MD, professor and director of the Anxiety Disorders Research Program at Georgetown University School of Medicine, Washington, DC, said that patients with PTSD often have pain, headaches, sleep disturbances, and other symptoms that are part of the picture of fibromyalgia. It’s plausible that pain syndromes could be manifestations of PTSD or groupings of symptoms that suggest a subtype.

“Pain is one way that people experience distress, and we know that in PTSD, sometimes the trauma memories are encoded too strongly, more stressful and more alarming to the body system,” she said.

When patients have symptoms such as chronic pain, headaches, fatigue, or cognitive brain fog, clinicians should remember to ask about trauma exposure, Hoge said. You might be the first to broach the subject.

“I’ve certainly seen patients in clinic who never get asked about the exposure to trauma, including sexual trauma, so sometimes that can be the first pathway to helping people feel better is just to have their trauma recognized,” Hoge said.

If a patient has experienced or witnessed violence, consider a referral to a psychiatrist or psychologist to evaluate them for PTSD. Higgs said he collaborated closely with a psychologist to complement his treatment plans for active duty and retired military service members and families.

The US Department of Veterans Affairs and the Department of Defense (DoD) recommend trauma-focused psychotherapy as the first line of treatment for PTSD. This form of therapy deliberately focuses on bringing trauma memories into the open, Hoge said.

“When a person talks about their trauma, and it comes into direct consciousness, somehow it’s malleable, and so when it goes back down into the memory banks, it’s changed somewhat,” she said.

This study was supported by the DoD through awards from the US Army Medical Research and Materiel Command, Congressionally Directed Medical Research Programs, and Psychological Health and Traumatic Brain Injury Research Program. The funding organizations played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Higgs’s comments are his own and do not necessarily reflect the official policy or position of the Defense Health Agency, Brooke Army Medical Center, Carl R. Darnall Army Medical Center, the DoD, the Department of Veterans Affairs, or any agencies under the US government. Hoge had no relevant disclosures.

A version of this article first appeared on Medscape.com.

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Fibromyalgia-PTSD Link Shows Bidirectional Relationship With Exposure to Combat Environments

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