Evidence map›Paper›PMID 41578099›Full record

ArticleJournal of general internal medicine2026

Impact of Medication for Opioid Use Disorder on Patient Directed Discharge Among Patients with Opioid Use Disorder.

Sumeet Singh-Tan, Andrea Jakubowski, Zina Huxley Reicher, Kristine Torres-Lockhart, Jeffrey Ceresnak, Jessica Pacifico, Julia Arnsten, William Southern

Abstract read
In one paragraph

Article in Journal of general internal medicine, 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

8 authors.

Sumeet Singh-TanDepartment of Medicine, Division of Hospital Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA. ssinght@montefiore.org.ORCID 0000-0001-9500-6496
Andrea JakubowskiDepartment of Medicine, Division of General Internal Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Zina Huxley ReicherDepartment of Medicine, Division of General Internal Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Kristine Torres-LockhartDepartment of Medicine, Division of General Internal Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Jeffrey CeresnakDepartment of Medicine, Division of Hospital Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Jessica PacificoDepartment of Medicine, Division of Hospital Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
Julia ArnstenDepartment of Medicine, Division of General Internal Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
William SouthernDepartment of Medicine, Division of Hospital Medicine, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.

Funding

Examining injectable buprenorphine implementation strategies in low-threshold and primary care settingsK23DA052627 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Andrea U Jakubowski · 2023 to 2026
$783k
NIDA NIH HHS K23 DA052627
6 · The paper itself

Abstract

backgroundOpioid use disorder (OUD) is responsible for significant morbidity and mortality in the USA. Hospitalization rates for patients with OUD have increased over the recent decades. Those with OUD have a substantially higher rate of patient-directed discharge (PDD) than those without OUD. There have been mixed results when examining the association between inpatient MOUD and PDD.

objectiveTo determine the association between inpatient MOUD and the rate of PDD among patients without evidence of MOUD treatment prior to hospitalization.

designRetrospective study comparing admissions receiving inpatient MOUD and propensity score-matched control admissions who did not receive MOUD. SUBJECTS: Two thousand seven hundred seventy-one admissions with a diagnosis of OUD and without evidence of prior MOUD treatment were compared to 2771 propensity-matched admissions.

interventionProvision of inpatient MOUD, either buprenorphine or methadone during admission. MAIN MEASURES: Primary outcome was patient-directed discharge. Secondary outcomes were buprenorphine prescription at discharge, buprenorphine prescription within 60 days of discharge, admission into an outpatient methadone program within 30 days of discharge, 30-day readmission, and 30-day post-discharge ED visit. KEY

resultsAmong 5542 admissions with OUD and no evidence of MOUD prior to admission, those that received inpatient MOUD were significantly less likely to have a PDD (11.9% vs 14.4%; OR 0.80 [CI 0.67-0.96]) and significantly more likely to receive a discharge prescription for buprenorphine (8.6% vs 1.2%; OR 8.04 [CI 5.52-11.71]) and another buprenorphine prescription within 60 days of discharge (5.5% vs 1.1%; OR 5.09 [CI 3.35-7.74]), compared with control admissions who did not receive MOUD. Inpatient MOUD was not significantly associated with admission into an outpatient methadone program within 30 days, 30-day readmission, and 30-day post-discharge ED visit.

conclusionsReceipt of inpatient MOUD was associated with a statistically significant reduction in PDD among those with OUD and without evidence of MOUD before admission when compared with propensity-matched admissions which did not receive inpatient MOUD.

Indexed as

BuprenorphineMethadoneOpiate Substitution TreatmentOpioid-Related DisordersPatient DischargeAdultFemaleHumansMaleMiddle AgedPatient ReadmissionRetrospective StudiesBuprenorphineMethadonehospitalizationmedications for opioid use disorder (MOUD)opioid use disorderpatient-directed dischargesubstance use disorders

Identifiers

PMID41578099
PMCPMC13304040

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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.