Evidence map›Paper›PMID 39705031›Full record

ArticleJAMA network open2024

Trends in Opioid Use Disorder in the Veterans Health Administration, 2005-2022.

Lauren R Gorfinkel, Carol A Malte, David S Fink, Zachary L Mannes, Melanie M Wall, Mark Olfson, Ofir Livne, Salomeh Keyhani, Katherine M Keyes, Silvia S Martins and 9 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Chronic Pain and Opioids in the Elderly: Treating the Brain, Not Just the Body.International journal of environmental research and public health · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Lauren R GorfinkelDepartment of Psychiatry, Columbia University Irving Medical Center, New York, New York.
Carol A MalteHealth Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington.
David S FinkNew York State Psychiatric Institute, New York.
Zachary L MannesDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, New York.
Melanie M WallNew York State Psychiatric Institute, New York.
Mark OlfsonDepartment of Psychiatry, Columbia University Irving Medical Center, New York, New York.
Ofir LivneHealth Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington.
Salomeh KeyhaniSan Francisco VA Medical Center, San Francisco, California.
Katherine M KeyesDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Magdalena CerdáDepartment of Population Health, Center for Opioid Epidemiology and Policy, New York University Langone Health, New York.
Sarah GutkindDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Charles C MaynardDepartment of Health Systems and Population Health, School of Public Health and Community Medicine, University of Washington, Seattle.
Andrew J SaxonHealth Services Research and Development, Seattle Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, Seattle, Washington.
Tracy SimpsonDepartment of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle.
Gregg GonsalvesDepartment of Epidemiology, Yale University School of Public Health, New Haven, Connecticut.
Haidong LuDepartment of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
Yoanna McDowellCenter of Excellence in Substance Addiction Treatment and Education, VA Puget Sound Health Care System, Seattle, Washington.
Deborah S HasinDepartment of Psychiatry, Columbia University Irving Medical Center, New York, New York.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR37DA015612 · NIDA · STANFORD UNIVERSITY · PI DOUGLAS K OWENS · 2019 to 2026
$6.3M
Impact of Medical and Recreational Marijuana Laws On Cannabis, Opioids And Psychiatric Medications: National Study of VA Patients, 2000 - 2024R01DA048860 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2019 to 2023
$4.1M
Cannabis use patterns and associations with cognitive impairment in older adultsK23DA057417 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Ofir Livne · 2023 to 2026
$586k
Barriers to and Health Consequences of Non- Pharmacological Chronic Pain Treatment among Patients Tapering Prescription Opioids in a Large Integrated Healthcare SystemK01AT012205 · NCCIH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Zachary L Mannes · 2023 to 2026
$532k
COVID-19 Pandemic: Natural Experiment in Telehealth on Buprenorphine Treatment in a Large Integrated Healthcare SystemK99DA055724 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI FINK, DAVID STANLEY · 2023 to 2023
$174k
NCATS NIH HHS UL1 TR001863NCCIH NIH HHS K01 AT012205NIDA NIH HHS K23 DA057417NIDA NIH HHS R01 DA048860NIDA NIH HHS R37 DA015612
6 · The paper itself

Abstract

Importance: Given the personal and social burdens of opioid use disorder (OUD), understanding time trends in OUD prevalence in large patient populations is key to planning prevention and treatment services. Objective: To examine trends in the prevalence of OUD from 2005 to 2022 overall and by age, sex, and race and ethnicity. Design, Setting, and Participants: This serial cross-sectional study included national Veterans Health Administration (VHA) electronic medical record data from the VHA Corporate Data Warehouse. Adult patients (age ≥18 years) with a current OUD diagnosis (using International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] and International Statistical Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] codes) who received outpatient care at VHA facilities from January 1, 2005, to December 31, 2022, were eligible for inclusion in the analysis. Main Outcomes and Measures: The main outcome was OUD diagnoses. To test for changes in prevalence of OUD over time, multivariable logistic regression models were run that included categorical study year and were adjusted for sex, race and ethnicity, and categorical age. Results: The final sample size ranged from 4 332 165 to 5 962 564 per year; most were men (89.3%-95.0%). Overall, the annual percentage of VHA patients diagnosed with OUD almost doubled from 2005 to 2017 (0.60% [95% CI, 0.60%-0.61%] to 1.16% [95% CI, 1.15%-1.17%]; adjusted difference, 0.55 [95% CI, 0.54-0.57] percentage points) and declined thereafter (2022: 0.97% [95% CI, 0.97%-0.98%]; adjusted difference from 2017 to 2022, -0.18 [95% CI, -0.19 to -0.17] percentage points). This trend was similar among men (0.64% [95% CI, 0.63%-0.64%] in 2005 vs 1.22% [95% CI, 1.21%-1.23%] in 2017 vs 1.03% [95% CI, 1.02%-1.04%] in 2022), women (0.34% [95% CI, 0.32%-0.36%] in 2005 vs 0.68% [95% CI, 0.66%-0.69%] in 2017 vs 0.53% [95% CI, 0.52%-0.55%] in 2022), those younger than 35 years (0.62% [95% CI, 0.59%-0.66%] in 2005 vs 2.22% [95% CI, 2.18%-2.26%] in 2017 vs 1.00% [95% CI, 0.97%-1.03%] in 2022), those aged 35 to 64 years (1.21% [95% CI, 1.19%-1.22%] in 2005 vs 1.80% [95% CI, 1.78%-1.82%] in 2017 vs 1.41% [95% CI, 1.39%-1.42%] in 2022), and non-Hispanic White patients (0.44% [95% CI, 0.43%-0.45%] in 2005 vs 1.28% [95% CI, 1.27%-1.29%] in 2017 vs 1.13% [95% CI, 1.11%-1.14%] in 2022). Among VHA patients aged 65 years or older, OUD diagnoses increased from 2005 to 2022 (0.06% [95% CI, 0.06%-0.06%] to 0.61% [95% CI, 0.60%-0.62%]), whereas among Hispanic or Latino and non-Hispanic Black patients, OUD diagnoses decreased from 2005 (0.93% [95% CI, 0.88%-0.97%] and 1.26% [95% CI, 1.23%-1.28%], respectively) to 2022 (0.61% [95% CI, 0.59%-0.63%] and 0.82% [95% CI, 0.80%-0.83%], respectively). Conclusions and Relevance: This serial cross-sectional study of national VHA electronic health record data found that the prevalence of OUD diagnoses increased from 2005 to 2017, peaked in 2017, and declined thereafter, a trend primarily attributable to changes among non-Hispanic White patients and those younger than 65 years. Continued public health efforts aimed at recognizing, treating, and preventing OUD are warranted.

Indexed as

Opioid-Related DisordersUnited States Department of Veterans AffairsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceUnited StatesVeteransYoung Adult

Identifiers

PMID39705031
PMCPMC11662256

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