Evidence map›Paper›PMID 41269703›Full record

ArticleJAMA health forum2025

Trends in Methadone Use for Pain and Opioid Use Disorder Among Medicaid Enrollees.

Yu-Chia Sam Hsu, Ashish P Thakrar, Charles E Leonard, Margaret Lowenstein, Colleen M Brensinger, Warren B Bilker, Kacie F Bogar, Sean Hennessy

Abstract read
In one paragraph

Article in JAMA health forum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yu-Chia Sam HsuCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Ashish P ThakrarDivision of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Charles E LeonardCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Margaret LowensteinDivision of General Internal Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Colleen M BrensingerCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Warren B BilkerCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Kacie F BogarCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.
Sean HennessyCenter for Real-World Effectiveness and Safety of Therapeutics, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia.

Funding

Drug-Drug Interactions Involving Methadone and BuprenorphineR01DA048001 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2019 to 2023
$2.9M
Drug Interactions Involving Second-generation Antipsychotic Agents Leading to Sudden Cardiac ArrestR01MH130435 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI HENNESSY, SEAN · 2022 to 2024
$2.2M
NIDA NIH HHS R01 DA048001NIMH NIH HHS R01 MH130435
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41269703
PMCPMC12639476

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.