Evidence map›Paper›PMID 40875233›Full record

ArticleJAMA network open2025

Evaluation of a Novel Patient-Centered Methadone Restart Protocol.

Paul J Christine, Joshua Blum, Alexandra R Tillman, Hannan M Braun, Martin Hinrichs, Hermione Hurley, Alia Al-Tayyib

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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

7 authors.

Paul J ChristineDepartment of General Internal Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Joshua BlumCenter for Addiction Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Alexandra R TillmanCenter for Addiction Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Hannan M BraunDepartment of General Internal Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Martin HinrichsCenter for Addiction Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Hermione HurleyCenter for Addiction Medicine, Denver Health and Hospital Authority, Denver, Colorado.
Alia Al-TayyibCenter for Addiction Medicine, Denver Health and Hospital Authority, Denver, Colorado.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: In opioid treatment programs (OTPs), restarting methadone after missed doses is common. Current guidelines recommend significant dose decreases but do not account for maintained tolerance. Objective: To evaluate the safety and treatment retention associated with a novel methadone restart protocol. Design, Setting, and Participants: This cohort study included participants in a public, safety-net OTP in Colorado, comparing cohorts before (2021) and after (2023) a 2022 protocol change. Eligible participants were patients who restarted methadone after 4 or more missed dosing days. Data were analyzed August 2024 through June 2025. Exposure: Restart protocol incorporating patient-reported nonprescribed opioid use and individualized assessments to determine restart doses. Main Outcomes and Measures: Protocol implementation was measured by change in dose before vs after restart, comparing preimplementation and postimplementation periods. Primary outcome was patient safety, measured by emergency department (ED) visits within 7 days of restart (all-cause, opioid withdrawal, and overdose-related) and 7-day and 90-day all-cause mortality. The secondary outcome was 90-day treatment retention. Generalized estimating equations were used to calculate adjusted risk ratios (aRRs) comparing preimplementation and postimplementation periods, controlling for demographics and comorbid substance use. Patient and clinician satisfaction and perceived safety were surveyed. Results: A total of 786 patients were included in the preimplementation cohort and 780 in the postimplementation cohort; 202 patients had methadone restarts before implementation (464 restart episodes; 124 male [61.4%]; 148 ages 25 to 44 years [73.3%]; 10 Black [5.0%], 72 Hispanic [35.6%], 112 White [55.4%]) and 195 patients after implementation (489 restart episodes; 116 male [59.5%]; 123 ages 25 to 44 years [63.1%]; 12 Black [6.2%], 60 Hispanic [30.8%], 114 White [58.5%]). Most patients were insured by Medicaid (preimplementation, 164 of 202 patients [81.2%]; postimplementation, 154 of 195 patients [79.0%]). In the preimplementation period, restart doses were 32.8% lower (95% CI, 30.8%-34.7%) than the last dose prior to restart. After protocol implementation, restart doses were 3.4% lower (95% CI, 1.5%-5.3%) than the last received dose. In the preimplementation period, 44 of 464 restarts (9.5%) were followed by ED visits within 7 days, compared with 30 of 489 restarts (6.1%) in the postimplementation period (aRR, 0.61; 95% CI, 0.37-0.98). There were 4 restarts followed by death within 90 days in both the preimplementation and postimplementation periods. Treatment retention was similar in preimplementation and postimplementation periods (aRR, 0.88; 95% CI, 0.73-1.05). Survey responses indicated high acceptance and satisfaction with the protocol. Conclusions and Relevance: In this cohort study of individuals with opioid use disorder restarting methadone after a gap in treatment, an individualized methadone restart protocol that considered interim opioid tolerance was associated with higher restart doses without compromising safety or treatment retention. Further research is needed to evaluate if this approach improves treatment outcomes.

Indexed as

Analgesics, OpioidMethadoneOpiate Substitution TreatmentOpioid-Related DisordersAdultCohort StudiesColoradoFemaleHumansMaleMiddle AgedPatient-Centered CareAnalgesics, OpioidMethadone

Identifiers

PMID40875233
PMCPMC12395315

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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.