Evidence map›Paper›PMID 42440433›Full record

ArticleDrug and alcohol dependence reports2026

Alcohol use disorder diagnoses among commercially insured US adults from 2016 to 2023, by disability status and sex.

Rachel Sayko Adams, Sharon Reif, Yassir Mohamed, Maureen T Stewart, Marc R LaRochelle, Dennis Heaphy, John D Corrigan, Fatema Shafie Khorassani, Jake R Morgan

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 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

9 authors.

Rachel Sayko AdamsBoston University School of Public Health, Department of Health Law, Policy and Management, Boston, MA, USA.
Sharon ReifBrandeis University, Heller School for Social Policy and Management, Institute for Behavioral Health, Waltham, MA, USA.
Yassir MohamedBoston University School of Public Health, Department of Health Law, Policy and Management, Boston, MA, USA.
Maureen T StewartBoston University School of Public Health, Department of Health Law, Policy and Management, Boston, MA, USA.
Marc R LaRochelleBoston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Dennis HeaphyDisability Policy Consortium, Boston, MA, USA.
John D CorriganThe Ohio State University, Wexner Medical Center, Department of Physical Medicine and Rehabilitation, Columbus, OH, USA.
Fatema Shafie KhorassaniBoston University School of Public Health, Department of Biostatistics, Boston, MA, USA.
Jake R MorganBoston University School of Public Health, Department of Health Law, Policy and Management, Boston, MA, USA.

Funding

Utilization of health services after engagement with opioid use disorder (OUD) treatment provider by individuals with and without post-traumatic stress disorderP30DA040500 · NIDA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Yuhua Bao · 2015 to 2026
$20.7M
INROADS-A: Intersecting Research on Addiction and Disability Services - AlcoholR01AA031236 · NIAAA · BRANDEIS UNIVERSITY · PI Rachel Sayko Adams, SHARON REIF · 2023 to 2026
$2.8M
NIAAA NIH HHS R01 AA031236NIDA NIH HHS P30 DA040500
6 · The paper itself

Abstract

Purpose: Epidemiologic survey studies suggest that people with disabilities are vulnerable to excessive alcohol use and alcohol use disorder (AUD), yet little is known about potential differences in clinical AUD diagnosis by disability status. Our objective was to examine trends in annual AUD diagnoses in the US from 2016 to 2023 among adults with commercial insurance, and to investigate potential differences by disability status/type, and by disability status/type and sex. Methods: Retrospective cross-sectional study using MarketScan commercial insurance claims from 2016 to 2023. Population-based sample of adults age 18-64 with commercial insurance across all 50 states. AUD diagnoses were identified with ICD-10 diagnosis codes. Age-adjusted annual AUD diagnosis rates per 10,000 population, stratified by disability status/type, and disability status/type and sex. Average annual percentage change of AUD rates over time. Results: The rate of AUD increased steadily from 85/10,000 persons in 2016 to 128/10,000 persons in 2023; average annual percentage change of 5.41% per year (CI 3.82% - 7.03%). Adults with disability had greater than threefold higher rates of AUD, and males and females with disabilities had a persistently higher rate of AUD compared to non-disabled males and females. Adults with serious mental illness and acquired brain injury were particularly likely to have AUD; rates were over 10 and 5 times higher than adults without these types of disabilities, respectively. Conclusions: Adults with disabilities had higher than three times the rate of AUD diagnoses compared to adults without disabilities. Interventions are needed inclusive of person-centered care for disabled people with comorbid AUD.

Indexed as

Alcohol use disorderCommercial insuranceDisabilitySex

Identifiers

PMID42440433
PMCPMC13333359

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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.