Evidence map›Paper›PMID 42360733›Full record

ArticleJAMA health forum2026

Geographic Availability and Use of Medications for Opioid Use Disorder Among Medicaid Enrollees.

Coleman Drake, Michael Sharbaugh, Dylan Nagy, Joo Yeon Kim, Crystal Zang, Katherine A Ahrens, Lindsay Allen, Andrew J Barnes, Jacob Baxter Hyman, Stuart Jacob Case and 18 more

Abstract read
In one paragraph

Article in JAMA health forum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Coleman DrakeDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Michael SharbaughDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Dylan NagyDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Joo Yeon KimDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Crystal ZangDepartment of Biostatistics and Health Data Science, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Katherine A AhrensMuskie School of Public Service, University of Southern Maine, Portland.
Lindsay AllenDepartment of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Andrew J BarnesDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond.
Jacob Baxter HymanCecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill.
Stuart Jacob CaseDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Stefanie JunkerDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Yilin CaiHealth Affairs Institute, West Virginia University, Morgantown.
Sarah J ClarkInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Christine DurranceRobert M. La Follette School of Public Affairs, University of Wisconsin-Madison.
Carrie FryDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee.
Katie GiffordBiden School of Public Policy and Administration, University of Delaware, Newark.
Adam J GordonDepartment of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
Lindsey HammerslagInstitute for Biomedical Informatics, University of Kentucky, Lexington.
Yvonne JonkMuskie School of Public Service, University of Southern Maine, Portland.
Sherline Pierre-LouisDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond.
Aimee MackOhio Colleges of Medicine Government Resource Center, The Ohio State University, Columbus.
Sarah MarksDepartment of Health Behavior and Policy, Virginia Commonwealth University, Richmond.
Melissa A SandahlCecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill.
Krystel TossoneOhio Colleges of Medicine Government Resource Center, The Ohio State University, Columbus.
Orrin WareSchool of Social Work, University of North Carolina at Chapel Hill.
Tim WilliamsThe Hilltop Institute, University of Maryland, Baltimore County, Baltimore.
Lu TangDepartment of Biostatistics and Health Data Science, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.
Julie M DonohueDepartment of Health Policy and Management, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania.

Funding

Reducing variation in access to medications for opioid use disorder in MedicaidR01DA055585 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2022 to 2025
$5.3M
NIDA NIH HHS R01 DA055585
6 · The paper itself

Abstract

Importance: There are large racial and ethnic differences in the use of medications for opioid use disorder (MOUD). Whether differences in geographic availability of MOUD providers (defined in this study as buprenorphine prescribers, methadone dispensing opioid treatment programs, and naltrexone prescribers) contribute to these differences in Medicaid is unknown. Objective: To examine differential geographic availability of MOUD in Medicaid and whether it is associated with MOUD use. Design, Setting, and Participants: This cross-sectional study analyzed the geographic availability of Medicaid prescribers of MOUD in 2021, spanning 10 states (Delaware, Kentucky, Maryland, Maine, Michigan, North Carolina, Pennsylvania, Tennessee, Virginia, and West Virginia) in the Medicaid Outcomes Distributed Research Network. The study population included Medicaid enrollees aged 18 to 64 not enrolled in Medicare and their MOUD providers. The data analysis was conducted from December 2022 to April 2026. Exposures: Geographic availability was measured at the zip code level (number of MOUD providers available in Medicaid within a 15-minute drive time per 100 Medicaid enrollees). Main Outcomes and Measures: Main outcomes included the probability of buprenorphine, methadone, and naltrexone use as a function of enrollee race and ethnicity, whether they had above-median geographic availability, and interactions between above-median geographic availability and race and ethnicity. Results: The sample included 8 081 899 Medicaid enrollees; 472 409 (5.8%) had an OUD diagnosis. The population was 58.7% female and 41.3% male. Among the study population, 11.7% were aged 18 to 20 years, 39.5% were aged 21 to 34 years, 21.4% were aged 35 to 44 years, 14.5% were aged 45 to 54 years, and 12.9% were aged 55 to 64 years. Overall, 7.3% of the sample were Hispanic enrollees, 27.4% were non-Hispanic Black enrollees, 56.2% were non-Hispanic White enrollees, and 7.2% were enrollees from other racial and ethnic groups. Overall, 13 575 buprenorphine prescribers, 516 methadone dispensers, and 4801 naltrexone prescribers billed Medicaid. Median Medicaid MOUD providers available within a 15-minute drive were 0.89 per 100 enrollees for buprenorphine, 0.03 for methadone, and 0.32 for naltrexone. Above-median geographic availability of methadone was associated with a 0.99 (95% CI, 0.54-1.42)-percentage point increase in methadone use for non-Hispanic White enrollees; there was no such increase for non-Hispanic Black or Hispanic enrollees. Evidence of similar differences was limited for naltrexone. Above-median availability of buprenorphine was not associated with increased use of MOUD for any racial or ethnic group. Conclusions and Relevance: In this cross-sectional study of 10 state Medicaid programs, greater geographic availability of MOUD was associated with increased use only for methadone and, to a lesser extent, naltrexone. No racial and ethnic groups experienced gains in use associated with improved access. Additional strategies beyond addressing geographic access may be needed to close racial and ethnic gaps in MOUD.

Indexed as

Health Services AccessibilityMedicaidNaltrexoneOpiate Substitution TreatmentOpioid-Related DisordersAdolescentAdultAnalgesics, OpioidBuprenorphineCross-Sectional StudiesFemaleHumansMaleMethadoneMiddle AgedNarcotic AntagonistsAnalgesics, OpioidBuprenorphineMethadoneNaltrexoneNarcotic Antagonists

Identifiers

PMID42360733
PMCPMC13309868

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.