Evidence map›Paper›PMID 41501983›Full record

ArticleAddiction (Abingdon, England)2026

Evaluating the optimal duration of medication treatment for opioid use disorder.

Corey J Hayes, Rebecca A Raciborski, Mahip Acharya, Nahiyan Bin Noor, Edward V Nunes, T John Winhusen

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

6 authors.

Corey J HayesDivision of Pharmaceutical Evaluation and Policy, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, AR, USA.ORCID 0000-0002-7776-6157
Rebecca A RaciborskiCenter for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Healthcare System, North Little Rock, AR, USA.ORCID 0000-0002-4135-9074
Mahip AcharyaInstitute for Digital Health and Innovation, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Nahiyan Bin NoorInstitute for Digital Health and Innovation, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Edward V NunesDivision on Substance Use Disorders, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0002-2055-3425
T John WinhusenDepartment of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH, USA.ORCID 0000-0002-3364-0739

Funding

The Ohio Valley Node of the Clinical Trials Network (CTN-0153)UG1DA013732 · NIDA · UNIVERSITY OF CINCINNATI · PI T John WINHUSEN · 2015 to 2026
$42.5M
National Institute on Drug Abuse of the National Institutes of Health UG1DA013732-23S3NIDA NIH HHS UG1 DA013732UAMS Vice Chancellor for Research and Innovation and the Arkansas Biosciences InstituteVA Health Services Research and Development Career Development Award-2 IK2HX003358
6 · The paper itself

Abstract

BACKGROUND AND

aimsClinicians have little guidance on the ideal length of time patients should remain on medication treatment for opioid use disorder (MOUD) before being able to safely discontinue MOUD. This study estimated how the risk of all-cause mortality changes with the duration of MOUD, controlling for patient characteristics that change the risk profile independent of duration of therapy. DESIGN, SETTING AND

participantsRetrospective cohort study using electronic health record data from the US Veterans Healthcare Administration. Veterans initiating MOUD with buprenorphine, methadone or extended-release naltrexone from October 2010 to September 2020. Our analytic sample included 19 666 buprenorphine initiators, 8675 methadone initiators and 4007 extended-release naltrexone initiators. MEASUREMENT: Duration of MOUD was measured in days. Discontinuation was defined as a gap in any MOUD coverage exceeding 28 days, regardless of MOUD type initiated. The primary outcome was all-cause mortality. We estimated multistate survival models allowing for the modeling of multiple states (i.e. on and off MOUD, death) without having to consider censoring or competing events, while adjusting for sociodemographic, clinical, prescription and facility and provider characteristics.

findingsWe observed approximately 226 000 person-years of time at risk for discontinuation or pre-discontinuation death, during which we observed 26 841 discontinuations (118.9 discontinuations per 1000 person-years). We similarly observed a total of about 106 000 person-years of post-discontinuation follow-up, during which we observed 3251 deaths (3.1 deaths per 1000 person-years). We found the largest marginal gain in probability of 6-year survival from an additional year on MOUD appears to occur around 2 years, as compared to 6 months on MOUD. Statistically significant gains continued through approximately 4-5 years of MOUD retention relative to 6-month MOUD retention. After 4-5 years, the marginal gain from one additional year of MOUD was not statistically significant.

conclusionsAmong US veterans, the benefit of retention on medication treatment for opioid use disorder (MOUD) towards overall survival continues through at least 4 years of MOUD treatment. Quality metrics based on 6-month MOUD retention may be insufficient.

Indexed as

Narcotic AntagonistsOpiate Substitution TreatmentOpioid-Related DisordersAdultBuprenorphineDelayed-Action PreparationsDuration of TherapyFemaleHumansMaleMethadoneMiddle AgedNaltrexoneRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsBuprenorphineDelayed-Action PreparationsMethadoneNaltrexoneNarcotic Antagonistsduration of therapymedication treatment for opioid use disordermortalitymultistate survival analysisopioid use disorderveterans

Identifiers

PMID41501983
PMCPMC12980296

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.