Evidence map›Paper›PMID 41525074›Full record

ArticleJAMA network open2026

Medication Availability for Alcohol Use Disorder in Substance Use Disorder Treatment Facilities.

Yuji Mizushima, Jonathan Cantor, Ryan K McBain, Fang Zhang, Alyssa Burnett, Ensheng Dong, Aaron Kofner, Joshua Breslau, Bradley D Stein, Hao Yu

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Errors in Figures and Results.JAMA network open · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuji MizushimaEconomics, Sociology, and Statistics Department, RAND, Santa Monica, California.
Jonathan CantorEconomics, Sociology, and Statistics Department, RAND, Santa Monica, California.
Ryan K McBainBehavioral and Policy Sciences Department, RAND, Arlington, Virginia.
Fang ZhangHarvard Pilgrim Health Care Institute, Boston, Massachusetts.
Alyssa BurnettDepartment of Population Medicine, Harvard Medical School, Boston, Massachusetts.
Ensheng DongEngineering and Applied Sciences Department, RAND, Arlington, Virginia.
Aaron KofnerData Science and Technology Department, RAND, Arlington, Virginia.
Joshua BreslauBehavioral and Policy Sciences Department, RAND, Pittsburgh, Pennsylvania.
Bradley D SteinBehavioral and Policy Sciences Department, RAND, Pittsburgh, Pennsylvania.
Hao YuHarvard Pilgrim Health Care Institute, Boston, Massachusetts.

Funding

State Telehealth Policies and Mental Care for Children in Underserved AreasR01MH132551 · NIMH · HARVARD PILGRIM HEALTH CARE, INC. · PI HAO YU · 2024 to 2026
$2.3M
Reducing disparities in alcohol use disorder treatment in underserved areasR01AA031588 · NIAAA · HARVARD PILGRIM HEALTH CARE, INC. · PI HAO YU · 2024 to 2026
$1.7M
NIAAA NIH HHS R01 AA031588NIMH NIH HHS R01 MH132551
6 · The paper itself

Abstract

Importance: Alcohol use disorder (AUD) is a major public health concern; medications for AUD (MAUD) are an effective form of treatment but remain underused. Identifying MAUD access trends and the characteristics of counties with limited availability can inform targeted efforts to expand treatment capacity. Objective: To examine trends in geographic availability of MAUD at US substance use disorder treatment facilities (SUDTFs) from 2017 to 2023 and assess county characteristics associated with SUDTFs offering MAUD. Design, Setting, and Participants: This nationwide cross-sectional study used data from the Mental Health and Addiction Treatment Tracking Repository, which includes longitudinal data on licensed SUDTFs and whether they offer MAUD (acamprosate, disulfiram, or naltrexone), to quantify trends in MAUD availability at SUDTFs from January 2017 to December 2023. Main Outcomes and Measures: The primary outcome was a county-year indicator for whether at least 1 SUDTF in the county offered MAUD. Explanatory county variables included rurality, percentage of traffic fatalities involving alcohol, percentage of the population that drank excessively, percentage of uninsured individuals, poverty rate, percentage of individuals over age 65 years, and percentage of non-Hispanic White individuals. Univariate logistic regressions with state and year fixed effects were used to explore associations between county characteristics and the probability that a county had any SUDTFs offering MAUD. Results: Across 22 000 county-years in a total of 3153 counties, the mean (SD) percentage of counties with at least 1 SUDTF offering MAUD increased from 34.12% (47.42%) in 2017 to 43.88% (49.63%) in 2021, but growth plateaued after 2021. Lower MAUD presence in a county was associated with rural-adjacent (difference, -22.40 percentage points [pp]; 95% CI, -24.43 to -20.38 pp) and rural-remote (-23.64 pp; 95% CI, -25.72 to -21.56 pp) relative to metropolitan county status as well as with a higher poverty rate (-0.66 pp; 95% CI, -0.93 to -0.38 pp), greater percentage of individuals aged 65 years or older (-2.33 pp; 95% CI, -3.02 to -1.65 pp), and higher proportion of non-Hispanic White individuals (-0.58 pp; 95% CI, -0.71 to -0.46 pp), whereas greater prevalence of binge drinking (difference, 1.90 pp; 95% CI, 1.26-2.54 pp) and a higher percentage of college-educated individuals (1.28 pp; 95% CI, 1.13-1.43) were associated with higher MAUD presence. Conclusions and Relevance: In this cross-sectional study, the proportion of SUDTFs offering MAUD increased from 2017 to 2021, but growth then plateaued. Policies supporting the expansion of MAUD-providing facilities, particularly in underserved counties, may be needed to address persistent gaps in access.

Indexed as

Alcohol DeterrentsAlcoholismHealth Services AccessibilitySubstance Abuse Treatment CentersAcamprosateCross-Sectional StudiesDisulfiramFemaleHumansMaleNaltrexoneUnited StatesAcamprosateAlcohol DeterrentsDisulfiramNaltrexone

Identifiers

PMID41525074
PMCPMC12797095

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.