Evidence map›Paper›PMID 39037812›Full record

ArticleJAMA network open2024

Opioid Overdose After Medication for Opioid Use Disorder Initiation Following Hospitalization or ED Visit.

Scott G Weiner, Kacey Little, Jiah Yoo, Diana P Flores, Christi Hildebran, Dagan A Wright, Grant A Ritter, Sanae El Ibrahimi

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
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  5. Article
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  10. Review
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  12. Predicting drug overdose and death after "before medically advised" hospital discharge.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  13. Article
  14. Article
  15. Observational
  16. Racial, ethnic, and sex disparities in buprenorphine treatment from emergency departments by discharge diagnosis.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Article
  17. Article
  18. Observational
  19. Article
  20. 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

8 authors.

Scott G WeinerDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Kacey LittleComagine Health, Portland, Oregon.
Jiah YooComagine Health, Portland, Oregon.
Diana P FloresComagine Health, Portland, Oregon.
Christi HildebranComagine Health, Portland, Oregon.
Dagan A WrightOregon Health Authority, Portland.
Grant A RitterBrandeis University, Waltham, Massachusetts.
Sanae El IbrahimiComagine Health, Portland, Oregon.

Funding

Using a Novel Comprehensive Linked Dataset to Determine Early Predictors of Opioid OverdoseR01DA044167 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI WEINER, SCOTT GORDON · 2018 to 2022
$2.6M
AHRQ HHS R01 HS026753NIDA NIH HHS R01 DA044167
6 · The paper itself

Abstract

Importance: Hospitalizations related to opioid use disorder (OUD) represent an opportunity to initiate medication for OUD (MOUD). Objective: To assess whether starting MOUD after a hospitalization or emergency department (ED) visit is associated with the odds of fatal and nonfatal opioid overdose at 6 and 12 months. Design, Setting, and Participants: This population-based cohort study used data from the Oregon Comprehensive Opioid Risk Registry, which links all payer claims data to other administrative health datasets, for individuals aged 18 years or older who had diagnosis codes related to OUD recorded at an index ED visit or hospitalization from January 2017 to December 2019. Data were analyzed between May 2023 and January 2024. Exposures: Receipt of MOUD within the 7 days after an OUD-related hospital visit. Main Outcomes and Measures: The primary outcome was fatal or nonfatal overdose at 6 and 12 months after discharge. Sample characteristics, including age, sex, insurance plan, number of comorbidities, and opioid-related overdose events, were stratified by receipt or nonreceipt of MOUD within 7 days after an OUD-related hospital visit. A logistic regression model was used to investigate the association between receipt of MOUD and having an opioid overdose event. Results: The study included 22 235 patients (53.1% female; 25.0% aged 25-39 years) who had an OUD-related hospital visit during the study period. Overall, 1184 patients (5.3%) received MOUD within 7 days of their ED visit or hospitalization. Of these patients, 683 (57.7%) received buprenorphine, 463 (39.1%) received methadone, and 46 (3.9%) received long-acting injectable naltrexone. Patients who received MOUD within 7 days after discharge had lower adjusted odds of fatal or nonfatal overdose at 6 months compared with those who did not (adjusted odds ratio [AOR], 0.63; 95% CI, 0.41-0.97). At 12 months, there was no difference in adjusted odds of fatal or nonfatal overdose between these groups (AOR, 0.79; 95% CI, 0.58-1.08). Patients had a lower risk of fatal or nonfatal overdose at 6 months associated with buprenorphine use (AOR, 0.50; 95% CI, 0.27-0.95) but not with methadone use (AOR, 0.57; 95% CI, 0.28-1.17). Conclusions and Relevance: In this cohort study of individuals with an OUD-related hospital visit, initiation of MOUD was associated with reduced odds of opioid-related overdose at 6 months. Hospitals should consider implementing programs and protocols to offer initiation of MOUD to patients with OUD who present for care.

Indexed as

BuprenorphineEmergency Service, HospitalHospitalizationOpiate OverdoseOpioid-Related DisordersAdolescentAdultAnalgesics, OpioidCohort StudiesFemaleHumansMaleMethadoneMiddle AgedOpiate Substitution TreatmentOregonAnalgesics, OpioidBuprenorphineMethadone

Identifiers

PMID39037812
PMCPMC11265135

What OpenQuestion holds

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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.