Evidence map›Paper›PMID 38043226›Full record

ArticleDrug and alcohol dependence2024

Receipt of opioid use disorder treatments prior to fatal overdoses and comparison to no treatment in Connecticut, 2016-17.

Robert Heimer, Anne C Black, Hsiuju Lin, Lauretta E Grau, David A Fiellin, Benjamin A Howell, Kathryn Hawk, Gail D'Onofrio, William C Becker

Open access · hybridAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
7.8field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 27 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Robert HeimerYale School of Public Health, New Haven, CT, United States. Electronic address: robert.heimer@yale.edu.
Anne C BlackYale School of Medicine, New Haven, CT, United States; VA Connecticut Healthcare System, West Haven, CT, United States.
Hsiuju LinUniversity of Connecticut School of Social Work, Hartford, CT, United States.
Lauretta E GrauYale School of Public Health, New Haven, CT, United States.
David A FiellinYale School of Public Health, New Haven, CT, United States; Yale School of Medicine, New Haven, CT, United States.
Benjamin A HowellYale School of Medicine, New Haven, CT, United States.
Kathryn HawkYale School of Public Health, New Haven, CT, United States; Yale School of Medicine, New Haven, CT, United States.
Gail D'OnofrioYale School of Public Health, New Haven, CT, United States; Yale School of Medicine, New Haven, CT, United States.
William C BeckerYale School of Medicine, New Haven, CT, United States; VA Connecticut Healthcare System, West Haven, CT, United States.
Yale University · USUniversity of Connecticut · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale-Mayo FDA Center for Excellence in Regulatory Science and InnovationU01FD005938 · FDA · YALE UNIVERSITY · PI Joseph Solomon Ross · 2016 to 2026
$25.4M
Yale Drug use, Addiction and HIV Research Scholars (DAHRS)K12DA033312 · NIDA · YALE UNIVERSITY · PI Gail D'Onofrio, Patrick O'Connor · 2013 to 2026
$7.2M
FDA HHS U01 FD005938NCATS NIH HHS UL1 TR001863NIDA NIH HHS K12 DA033312
6 · The paper itself

Abstract

objectiveTo determine the relative risk of death following exposure to treatments for OUD compared to no treatment.

methodsIn this retrospective cohort study we compiled and merged state agency data on accidental and undetermined opioid overdose deaths in 2017 and exposures to OUD treatment in the prior six months to determine incidence rates following exposure to different treatment modalities. These rates were compared to the estimated incidence among those exposed to no treatment to determine relative risk of death for each treatment exposure.

resultsIncidence rates for opioid poisoning deaths for those exposed to treatment ranged from 6.06±1.40 per 1000 persons exposed to methadone to 17.36±3.22 per 1000 persons exposed to any non-medication treatment. The estimated incidence rate for those not exposed to treatment was 9.80±0.72 per 1000 persons. With no exposure to treatment as referent, exposure to methadone or buprenorphine reduced the relative risk by 38% or 34%, respectively; the relative risk of non-medication treatments was equal to or worse than no exposure to treatment (RR = 1.27-1.77). PRINCIPAL

conclusionsExposure to non-MOUD treatments provided no protection against fatal opioid poisoning whereas the relative risk was reduced following exposures to MOUD treatment, even if treatment was not continued. Population level efforts to reduce opioid overdose deaths need to focus on expanding access to agonist-based MOUD treatments and are unlikely to succeed if access to non-MOUD treatments is made more available.

Indexed as

BuprenorphineDrug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidConnecticutHumansMethadoneOpiate Substitution TreatmentRetrospective StudiesAnalgesics, OpioidBuprenorphineMethadoneOpioid overdosesRelative risk of deathTreatment for opioid use disorder

Identifiers

PMID38043226
PMCPMC10872282
OpenAlexW4389070999

What OpenQuestion holds

Textmetadata
LicenceTDM
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.