Evidence map›Paper›PMID 41838002›Full record

ArticleJAMA network open2026

Treating Opioid Use Disorder With Methadone in Pharmacies.

Cynthia A Tschampl, Sage R Feltus, Elena Soranno, Jeffrey Bratberg, Maureen T Stewart, Murray Dawson, Traci C Green

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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.

Cynthia A TschamplThe Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.
Sage R FeltusDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, Massachusetts.
Elena SorannoThe Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.
Jeffrey BratbergDepartment of Pharmacy Practice, University of Rhode Island College of Pharmacy, Kingston.
Maureen T StewartDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, Massachusetts.
Murray DawsonThe Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.
Traci C GreenThe Heller School for Social Policy and Management, Brandeis University, Waltham, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Methadone, a medication for opioid use disorder, is underused in the US response to the opioid overdose crisis. Under federal law, methadone can be offered in pharmacies via medication units, although a change to federal statutes or regulations could allow more options for pharmacists to dispense methadone. Objective: To analyze innovative return on investment (ROI) for 2 pharmacy-based models: (1) pharmacy-based medication unit and (2) pharmacist-dispensed methadone. Design, Setting, and Participants: This cross-sectional economic evaluation, conducted from March 13, 2024, to August 22, 2025, created 2 models for pharmacy-based methadone dispensed at community-based pharmacies in the US to people who are stable on methadone maintenance treatment and who were referred by the opioid treatment program (OTP) or who recently initiated treatment due to the new option for pharmacy dispensing: (1) an OTP and a pharmacy partner to operate a medication unit in the pharmacy wherein OTP clinicians prescribe and pharmacists dispense methadone and (2) regulatory changes that allow medical professionals to prescribe methadone and pharmacists to dispense the medication. Each model included startup costs plus 3 years of operational costs and revenue. Input data were extracted from key informant interviews, a time-motion study, and the literature. Data were analyzed from June 2024 to July 2025. Exposures: Models addressed clinical services, anticipated consumers, potential competitors, key differentiators, and critical success factors. Input data were combined with microcosting methodology and enumerated minimum, best, and maximum values (PertBeta distributions) for 121 key inputs. A total of 10 000 Monte Carlo simulations were conducted to obtain 95% uncertainty intervals (UIs). Values are presented in 2024 US dollars. Main Outcomes and Measures: The primary study outcomes were ROI ratios and net profits after 3 years in operation. Results: The medication unit model (model 1) assumed a total of 3429 (95% UI, 1385-6244) client visits over the 3 years, indicating a mean (SD) of 95 (36) visits per month. For the pharmacist-dispensed model (model 2), the total number of client visits was estimated as 793 (95% UI, 531-1167), indicating a mean (SD) of 22 (5) visits per month. For model 1, over 3 years, a pharmacy would net $3.53 (95% UI, $1.14-$6.99) for every $1.00 spent, yielding a profit of $96 904 (95% UI, $5365-$267 451), including a 93.8% likelihood of netting $15 000 by year 3. For model 2, over 3 years, a pharmacy would net $2.64 (95% UI, $2.04-$3.41) for every $1.00, yielding a profit of $23 844 (95% UI, $15 045-$36 546), including a 97.6% likelihood of netting $15 000 or more by year 3. Conclusions and Relevance: In this economic evaluation of 2 pharmacy-based methadone business models, both models demonstrated positive ROI over 3 years. This finding suggests that increased access to methadone-a key step in reducing overdose deaths-can be profitable for community pharmacies. Changes to federal statutes or regulations may be needed, depending on the preferred model.

Indexed as

Community Pharmacy ServicesMethadoneOpiate Substitution TreatmentOpioid-Related DisordersPharmaciesCost-Benefit AnalysisCross-Sectional StudiesHumansUnited StatesMethadone

Identifiers

PMID41838002
PMCPMC12993698

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.