Evidence map›Paper›PMID 40439866›Full record

ArticleJournal of general internal medicine2025

Initiating Medications for Opioid Use Disorder in Hospitalized Incarcerated Patients.

Lawrence A Haber, Justin Berk, Julie Taub, Anna-Maria South

Abstract readEditorial
In one paragraph

Article in Journal of general internal medicine, 2025. 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

4 authors.

Lawrence A HaberDivision of Hospital Medicine, Denver Health and Hospital Authority, Denver, CO, USA. lawrence.haber@dhha.org.ORCID 0000-0002-8006-8675
Justin BerkDepartment of Medicine and Pediatrics, Alpert Medical School at Brown University, Providence, RI, USA.
Julie TaubDivision of Hospital Medicine, Denver Health and Hospital Authority, Denver, CO, USA.
Anna-Maria SouthDivision of Hospital Medicine and Addiction Consult Service, Department of Medicine, University of Kentucky College of Medicine, Lexington, KY, USA.

Funding

Injectable Extended-Release Buprenorphine (XR-B) in a Correctional Setting: A Pilot Randomized Controlled TrialK23DA055695 · NIDA · RHODE ISLAND HOSPITAL · PI Justin Berk · 2022 to 2026
$1.0M
NIDA NIH HHS K23 DA055695NIDA NIH HHS K23DA055695
6 · The paper itself

Abstract

Opioid use disorder (OUD) affects millions in the USA, with a growing disparity among Black men, a patient population which also suffers higher rates of incarceration. Medications for opioid use disorder (MOUD), specifically buprenorphine and methadone, significantly reduce mortality, though remain underutilized particularly within the incarcerated population. Post-release opioid overdose is the leading cause of mortality among recently incarcerated individuals, so opportunities to offer life-saving treatment must be capitalized upon. Hospitalization offers an ideal time to start MOUD, yet those incarcerated face unique barriers to initiating and continuing such medication. Initiating MOUD can improve post-release opioid-related outcomes but requires a well-coordinated approach to treatment. Here, we review the importance of MOUD for the incarcerated population and how hospital-based clinicians can address patient-, provider-, and system-level obstacles to deliver equitable, evidence-based treatment for this population.

Indexed as

BuprenorphineHospitalizationMethadoneOpiate Substitution TreatmentOpioid-Related DisordersPrisonersAnalgesics, OpioidHumansMaleAnalgesics, OpioidBuprenorphineMethadone

Identifiers

PMID40439866
PMCPMC12586247

What OpenQuestion holds

Textmetadata
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.