Evidence map›Paper›PMID 36845893›Full record

ArticleDrug and alcohol dependence reports2022

Opioid agonist treatment initiation and linkage for hospitalized patients seen by a substance use disorder consultation service.

Courtney D Nordeck, Christopher Welsh, Robert P Schwartz, Shannon Gwin Mitchell, Kevin E O'Grady, Jan Gryczynski

Abstract read
In one paragraph

Article in Drug and alcohol dependence reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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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.

Courtney D NordeckFriends Research Institute, Inc., Baltimore, MD, United States.
Christopher WelshDepartment of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, United States.
Robert P SchwartzFriends Research Institute, Inc., Baltimore, MD, United States.
Shannon Gwin MitchellFriends Research Institute, Inc., Baltimore, MD, United States.
Kevin E O'GradyDepartment of Psychology, University of Maryland, College Park, MD, United States.
Jan GryczynskiFriends Research Institute, Inc., Baltimore, MD, United States.

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Navigation Services to Avoid Rehospitalization (NavSTAR) among substance abusersR01DA037942 · NIDA · FRIENDS RESEARCH INSTITUTE, INC. · PI GRYCZYNSKI, JAN · 2015 to 2018
$2.4M
NIDA NIH HHS R01 DA037942NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

Background: Facilitating opioid agonist treatment (OAT) for opioid use disorder (OUD) is an important role of hospital substance use disorder (SUD) consultation services. In the Methods: This secondary analysis examined hospital-based OAT initiation (pre-randomization) and community-based OAT linkage (post-discharge) among NavSTAR trial participants with OUD ( Results: Overall, 57.6% initiated OAT during hospitalization (36.3% methadone, 21.3% buprenorphine). Compared to participants not initiating OAT, participants who received methadone were more likely to be female (Relative Risk Ratio [RRR]=2.05, 95% CI=1.11, 3.82, Conclusions: OAT initiation differed by sex, race, and housing status. Hospital-based OAT initiation and patient navigation were independently associated with linkage to community-based OAT. Hospitalization is a reachable moment to begin OAT to alleviate withdrawal and facilitate treatment continuity post-discharge.

Indexed as

BuprenorphineHospitalizationMethadoneOpioid agonist treatmentOpioid use disorderSubstance use consultation

Identifiers

PMID36845893
PMCPMC9948812

What OpenQuestion holds

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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.