Evidence map›Paper›PMID 41124187›Full record

ArticlePloS one2025

Simulating the impact of methadone prescribing and pharmacy dispensing on opioid treatment and overdose in New York State: A study protocol for an agent-based modeling study.

Noa Krawczyk, Megan Miller, Ignacio Bórquez, Caroline Rutherford, Georgiy Bobashev, Pamela Mund, Katherine Keyes, Magdalena Cerdá, Ashly E Jordan

Abstract read
In one paragraph

Article in PloS one, 2025. 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

9 authors.

Noa KrawczykCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-7396-3938
Megan MillerCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Ignacio BórquezCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.ORCID https://orcid.org/0000-0002-3746-578X
Caroline RutherfordDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Georgiy BobashevCenter for Data Science and AI, RTI International, Research Triangle Park, Morrisville, North Carolina, United States of America.
Pamela MundNew York State Office of Addiction Services and Supports, New York, New York, United States of America.
Katherine KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America.
Magdalena CerdáCenter for Opioid Epidemiology and Policy, Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
Ashly E JordanNew York State Office of Addiction Services and Supports, New York, New York, United States of America.

Funding

Supplement for Cloud Computing: Opioid Policy ModelsR01DA047994 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI BOBASHEV, GEORGIY · 2020 to 2024
$3.4M
Simulating the Impact of Office-Based Methadone Prescribing and Pharmacy Dispensing on OUD Treatment and Overdose in New York State: An Agent-Based Modeling ApproachR21DA061660 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JORDAN, ASHLY ELIZABETH, KRAWCZYK, NOA · 2024 to 2025
$482k
NIDA NIH HHS R01 DA047994NIDA NIH HHS R21 DA061660
6 · The paper itself

Abstract

Amid the ongoing overdose crisis, U.S. lawmakers are considering policy reforms that could significantly change availability and accessibility of methadone treatment (MT) for opioid use disorder (OUD). However, uncertainty remains about which potential changes will lead to the greatest health benefits while minimizing unintended harms. In this protocol, we describe a planned NIH-funded study (R21DA061660) to simulate alternative MT delivery scenarios currently being considered in U.S. policy discussions, and estimate their impact on population-level rates of treatment initiation and retention and opioid overdose across different sociodemographic groups. We will use an agent-based model focused on 16 counties in NY State to simulate two alternative policy scenarios compared to the current status quo of opioid-treatment program (OTP) delivered MT: 1) office-based prescribing by addiction-certified providers with pharmacy and OTP dispensing; and 2) office-based prescribing by general practitioners with pharmacy and OTP dispensing. Agents will represent individuals with OUD and we will simulate access to MT based on alternative policy scenarios (e.g., locations of existing OTPs vs. provider offices and pharmacies). Probabilities of treatment initiation, retention, and opioid overdose will be informed by estimates from the scientific literature and administrative datasets from NY State. Multiple implementation scenarios will be considered to account for potential variation in adoption of office-based methadone by patients, providers, and pharmacies. To ensure relevance to directly impacted communities and policy makers, the study involves a collaboration between academic researchers and NY State government partners and relies on input from an Expert Advisory Board of people with lived and living experience with methadone, addiction medicine, and policy experts. Findings will be disseminated via a public dashboard. This study will inform ongoing policy discussions and shed light on the potential of researcher-policy partnerships to promote evidence-based policies that can reduce overdose and improve population health.

Indexed as

Analgesics, OpioidDrug OverdoseMethadoneOpiate OverdoseOpiate Substitution TreatmentOpioid-Related DisordersDrug PrescriptionsHumansNew YorkAnalgesics, OpioidMethadone

Identifiers

PMID41124187
PMCPMC12543120

What OpenQuestion holds

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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.