Evidence map›Paper›PMID 40218094›Full record

ArticleHealthcare (Basel, Switzerland)2025

Exploring the Determinants of Treatment Completion Among Youth Who Received Medication-Assisted Treatment in the United States.

Esther A Adeniran, Megan Quinn, Ying Liu, Billy Brooks, Robert P Pack

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 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. 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

5 authors.

Esther A AdeniranCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Megan QuinnDepartment of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.ORCID 0000-0003-1032-4052
Ying LiuDepartment of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
Billy BrooksDepartment of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
Robert P PackDepartment of Community and Behavioral Health, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn effective treatment for Opioid Use Disorder is Medication-Assisted Treatment (MAT). However, in the United States (US), this is still being underutilized by youth. Research indicates the need to develop strategies to reduce treatment barriers among these youth. Thus, we explored the rates of treatment completion and dropout among youth receiving MAT in US substance use treatment facilities and examined factors associated with treatment completion and dropout.

methodsThis study used the 2019 Treatment Episode Data Set-Discharges. Our analysis was restricted to youth (12-24 years) who primarily used heroin at admission. Log-binomial regression was used to examine various determinants of treatment completion and dropout, guided by Andersen's Behavioral Model.

resultsThe final sample size was 4917. Among youth reporting heroin use with receipt of MAT, those showing a higher likelihood of treatment completion than dropout were males [ARR: 1.23; 95% CI: 1.088-1.381;

conclusionsThe majority of youth receiving MAT dropped out of treatment. We identified various factors that should be prioritized to address youth underutilization of MAT in the US.

Indexed as

adolescentMedication-Assisted Treatment of Opioid Use Disorderopioid-related disorderstreatment completiontreatment dropouttreatment episode data set (TEDS)youth

Identifiers

PMID40218094
PMCPMC11988305

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.