Evidence map›Paper›PMID 35652681›Full record

ArticleAddiction (Abingdon, England)2022

Duration of medication treatment for opioid-use disorder and risk of overdose among Medicaid enrollees in 11 states: a retrospective cohort study.

Marguerite Burns, Lu Tang, Chung-Chou H Chang, Joo Yeon Kim, Katherine Ahrens, Lindsay Allen, Peter Cunningham, Adam J Gordon, Marian P Jarlenski, Paul Lanier and 6 more

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
10.0field-weighted citation impact, top 1% of its field
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

47 citing papers in PubMed, 57 citations in OpenAlex.

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  16. Retention among Medicaid beneficiaries in opioid treatment programs in California.Journal of substance use and addiction treatment · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 11 institutions in 2 countries.

Marguerite BurnsDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA.ORCID 0000-0002-0625-2861
Lu TangDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Chung-Chou H ChangDepartment of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Joo Yeon KimDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Katherine AhrensPublic Health Program, Muskie School of Public Service, University of Southern Maine, Portland, ME, USA.
Lindsay AllenHealth Policy, Management and Leadership Department, School of Public Health, West Virginia University, Morgantown, WV, USA.
Peter CunninghamHealth Behavior and Policy Department, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Adam J GordonDepartment of Medicine and Department of Psychiatry, School of Medicine, University of Utah, Salt Lake City, UT, USA.
Marian P JarlenskiDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0001-6907-5447
Paul LanierDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Rachel MaukSchool of Social Work, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Mary Joan McDuffieGovernment Resource Center, Ohio Colleges of Medicine, The Ohio State University, Columbus, OH, USA.
Shamis MohamoudCenter for Community Research and Service, Biden School of Public Policy and Administration, University of Delaware, Newark, DE, USA.
Jeffery TalbertHilltop Institute, University of Maryland Baltimore County, Baltimore, MD, USA.
Kara ZivinDivision of Biomedical Informatics, College of Medicine, University of Kentucky, Lexington, KY, USA.
Julie DonohueDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-2418-6017
University of Pittsburgh · USThe Ohio State University · USUniversity of Delaware · USUniversity of Kentucky · USUniversity of Maryland, Baltimore County · USUniversity of North Carolina at Chapel Hill · USUniversity of Southern Maine · USUniversity of Utah · USUniversity of Wisconsin–Madison · USVirginia Commonwealth University · USWest Virginia University · US

Funding

Examining the quality of opioid use disorder treatment in a Medicaid research networkR01DA048029 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DONOHUE, JULIE MARIE · 2019 to 2021
$3.5M
NIDA NIH HHS R01 DA048029
6 · The paper itself

Abstract

BACKGROUND AND

aimsMedication for opioid use disorder (MOUD) reduces harms associated with opioid use disorder (OUD), including risk of overdose. Understanding how variation in MOUD duration influences overdose risk is important as health-care payers increasingly remove barriers to treatment continuation (e.g. prior authorization). This study measured the association between MOUD continuation, relative to discontinuation, and opioid-related overdose among Medicaid beneficiaries.

designRetrospective cohort study using landmark survival analysis. We estimated the association between treatment continuation and overdose risk at 5 points after the index, or first, MOUD claim. Censoring events included death and disenrollment. SETTING AND

participantsMedicaid programs in 11 US states: Delaware, Kentucky, Maryland, Maine, Michigan, North Carolina, Ohio, Pennsylvania, Virginia, West Virginia and Wisconsin. A total of 293 180 Medicaid beneficiaries aged 18-64 years with a diagnosis of OUD and had a first MOUD claim between 2016 and 2017. MEASUREMENTS: MOUD formulations included methadone, buprenorphine and naltrexone. We measured medically treated opioid-related overdose within claims within 12 months of the index MOUD claim.

findingsResults were consistent across states. In pooled results, 5.1% of beneficiaries had an overdose, and 67% discontinued MOUD before an overdose or censoring event within 12 months. Beneficiaries who continued MOUD beyond 60 days had a lower relative overdose hazard ratio (HR) compared with those who discontinued by day 60 [HR = 0.39; 95% confidence interval (CI) = 0.36-0.42; P < 0.0001]. MOUD continuation was associated with lower overdose risk at 120 days (HR = 0.34; 95% CI = 0.31-0.37; P < 0.0001), 180 days (HR = 0.31; 95% CI = 0.29-0.34; P < 0.0001), 240 days (HR = 0.29; 95% CI = 0.26-0.31; P < 0.0001) and 300 days (HR = 0.28; 95% CI = 0.24-0.32; P < 0.0001). The hazard of overdose was 10% lower with each additional 60 days of MOUD (95% CI = 0.88-0.92; P < 0.0001).

conclusionsContinuation of medication for opioid use disorder (MOUD) in US Medicaid beneficiaries was associated with a substantial reduction in overdose risk up to 12 months after the first claim for MOUD.

Indexed as

BuprenorphineDrug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansMedicaidOpiate Substitution TreatmentRetrospective StudiesUnited StatesAnalgesics, OpioidBuprenorphineDistributed research networklandmark survival analysisMedicaidmedicationopioid-related overdoseopioid use disorder

Identifiers

PMID35652681
PMCPMC10683938
OpenAlexW4281864825

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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.