Evidence map›Paper›PMID 42684700›Full record

Trial reportJAMA network open2026

Care Navigation for Methamphetamine Use Disorder: A Randomized Clinical Trial.

Alia Al-Tayyib, Deborah J Rinehart, Karina G Duarte, Aiden Gilbert, Chris Newton, Ryan Loh, Emily Bacon, Scott A Simpson

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06033365 (Beginning Early and Assertive Treatment for Methamphetamine Use Disorder), which is not on this map. Not yet cited in PubMed.

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

NCT06033365 nacompletednot on this map

Beginning Early and Assertive Treatment for Methamphetamine Use Disorder (BEATMeth): A Comprehensive Systems-level Secondary Prevention Strategy to Prevent Stimulant Related Overdoses

TypeinterventionalSponsorDenver Health and Hospital AuthorityRan2023 to 2025Enrolled192ConditionsMethamphetamine Use DisorderArmscare navigation
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alia Al-TayyibPublic Health Institute at Denver Health, Denver, Colorado.
Deborah J RinehartCenter for Health Systems Research, Denver Health, Denver, Colorado.
Karina G DuarteCenter for Health Systems Research, Denver Health, Denver, Colorado.
Aiden GilbertCenter for Health Systems Research, Denver Health, Denver, Colorado.
Chris NewtonDepartment of Behavioral Health Services, Denver Health, Colorado.
Ryan LohCenter for Addiction Medicine, Denver Health, Colorado.
Emily BaconCenter for Addiction Medicine, Denver Health, Colorado.
Scott A SimpsonDepartment of Psychiatry, University of Colorado School of Medicine Anschutz Medical Campus, Aurora.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Stimulant-involved deaths continue to increase in the US, and methamphetamine use remains a weighty public health concern. Treating methamphetamine use disorders is complicated. Contingency management has demonstrated the best effectiveness but is not widely implemented. Objective: To examine the effectiveness of dedicated care navigation in linking patients to treatment. Design, Setting, and Participants: This prospective randomized clinical trial was conducted at an integrated safety-net health system in Denver, Colorado, between April 10, 2023, and December 31, 2024. Eligible participants were 18 years or older who had a methamphetamine-related encounter in an acute care setting; those with involuntary treatment holds, substance treatment in past 90 days or actively seeking treatment, and inability to provide consent were excluded. Participants completed baseline, 30-day, and 90-day study visits. Intervention: Dedicated care navigation, incorporating contingency management principles, with a focus on addressing health-related social needs. Main Outcomes and Measures: Linkage to treatment within 30 and 90 days of enrollment defined as a composite measure of at least 1 of the following: electronic health record data indicating a visit at the health system's substance treatment clinic, a behavioral health encounter at an outpatient clinic, temporary residential treatment, or self-reported treatment on the 30- and/or 90-day follow-up survey. Results: Of 192 participants enrolled in the Beginning Early and Assertive Treatment for Methamphetamine Use trial, 156 (81.3%) were male, and the median age was 39 (IQR, 31-47) years. Most participants were unstably housed (163 [84.9%]), not currently employed (158 [82.3%]), and without regular access to a working phone (94 [49.0%]). Of the 96 participants randomized to the intervention, 60 (62.5%) engaged in 2 or more navigation sessions, 45 (46.9%) completed the 30-day study visit, and 47 (49.0%) completed the 90-day study visit compared with 44 (46.3%) and 37 (38.5%), respectively, of the 96 randomized to the control arm. No statistically significant differences in treatment linkage were observed at 30 days (24 participants [25.0%] in both arms; risk ratio, 1.00 [95% CI, 0.61-1.63]) or 90 days post enrollment, (32 [33.3%] in intervention vs 24 [25.0%] in control arms; risk ratio, 1.33 [95% CI, 0.85-2.09]). Conclusions and Relevance: In this randomized clinical trial, integrating principles of contingency management into the intervention may have increased engagement with a dedicated care navigator but did not increase likelihood of linkage to treatment for methamphetamine use disorder. Trial Registration: ClinicalTrials.gov Identifier: NCT06033365.

Indexed as

Amphetamine-Related DisordersMethamphetaminePatient NavigationAdherence InterventionsAdultColoradoFemaleHumansMaleMiddle AgedProspective StudiesMethamphetamine

Identifiers

PMID42684700
PMCPMC13539392

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Registered trials

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.