Evidence map›Paper›PMID 41786317›Full record

ArticleAddiction (Abingdon, England)2026

Impact of enhanced practices on opioid overdose deaths: A community-based modeling approach.

Carolina Barbosa, Qiushi Chen, Mert Sahinkoc, Gary A Zarkin, William Dowd, Jennifer Villani, Joshua A Barocas, Magdalena Cerdá, Avik Chatterjee, Naleef Fareed and 10 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. 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

20 authors.

Carolina BarbosaRTI International, Research Triangle Park, Durham, NC, USA.ORCID https://orcid.org/0000-0002-7535-9443
Qiushi ChenMassachusetts General Hospital, Boston, MA, USA.ORCID https://orcid.org/0000-0003-4031-2669
Mert SahinkocMassachusetts General Hospital, Boston, MA, USA.
Gary A ZarkinRTI International, Research Triangle Park, Durham, NC, USA.ORCID https://orcid.org/0000-0003-3331-0788
William DowdRTI International, Research Triangle Park, Durham, NC, USA.ORCID https://orcid.org/0000-0002-6331-060X
Jennifer VillaniNational Institute on Drug Abuse, Bethesda, MD, USA.ORCID https://orcid.org/0000-0003-2337-2504
Joshua A BarocasUniversity of Colorado School of Medicine, Aurora, CO, USA.ORCID https://orcid.org/0000-0002-4155-4697
Magdalena CerdáNYU Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0001-8441-7046
Avik ChatterjeeUniversity School of Medicine, Boston, MA, USA.
Naleef FareedThe Ohio State University, Columbus, OH, USA.
Ayaz HyderThe Ohio State University, Columbus, OH, USA.
Katherine M KeyesColumbia University, New York, NY, USA.ORCID https://orcid.org/0000-0002-5624-021X
Marc R LarochelleBoston Medical Center, Boston, MA, USA.
Benjamin P LinasBoston University School of Medicine, Boston, MA, USA.ORCID https://orcid.org/0000-0001-9574-7075
Sara M RobertsCase Western Reserve University, School of Medicine, Cleveland, OH, USA.
Bruce R SchackmanWeill Cornell Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-1132-2932
Eric SeiberThe Ohio State University, Columbus, OH, USA.
Sarah E WakemanMassachusetts General Hospital, Boston, MA, USA.
Amy B KnudsenMassachusetts General Hospital, Boston, MA, USA.
Jagpreet ChhatwalMassachusetts General Hospital, Boston, MA, USA.

Funding

MassHEAL - Reducing overdose deaths by 40% (2019-2023)UM1DA049412 · NIDA · BOSTON MEDICAL CENTER · PI SAMET, JEFFREY H. · 2019 to 2023
$82.9M
Kentucky CAN HEAL (Communities and Networks Helping End Addiction Long-term)UM1DA049406 · NIDA · UNIVERSITY OF KENTUCKY · PI WALSH, SHARON L. · 2019 to 2022
$81.7M
CHASE: An Innovative County-Level Public Health Response to the Opioid Epidemic in New York StateUM1DA049415 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI EL-BASSEL, NABILA, GILBERT, LOUISA · 2019 to 2023
$77.3M
HEALing Communities Study Health Equity ResearchUM1DA049394 · NIDA · RESEARCH TRIANGLE INSTITUTE · PI GLASGOW, LASHAWN, KNOTT, CHARLES · 2019 to 2023
$40.6M
NIDA NIH HHS UM1 DA049394NIDA NIH HHS UM1 DA049412NIH HHS UM1DA049394NIH HHS UM1DA049406NIH HHS UM1DA049412NIH HHS UM1DA049415SAMHSA HHS
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe opioid crisis is still a public health emergency in the United States, despite recent declines in opioid overdose deaths (OODs) and increased availability of evidence-based practices (EBPs) for opioid use disorder (OUD). The geographic variability in OODs drives the need for localized decision-making, where interventions are tailored to the unique needs of communities. This study aimed to develop and calibrate a simulation model that evaluates the impact of enhanced implementation of EBP on OODs at the community-level.

designWe developed OPSiM (Opioid Policy Simulation Model), a community-level microsimulation model that simulates the course of opioid use, OUD, treatment, recovery and overdose-related events. The model was parameterized with data from the HEALing Communities Study and looked at six scenarios of EBPs implemented in 2025 with sustainment through 2030: (1) maintain 2024 EBP levels (status quo); (2) increase initiation of medications for opioid use disorder (MOUD); (3) increase MOUD retention; (4) increase MOUD initiation and retention; (5) increase distribution of naloxone; and (6) both scenarios 4 and 5.

settingTwenty-nine communities in Massachusetts, New York, and Ohio, USA.

participantsSimulated community residents with non-prescribed opioid use or OUD. MEASUREMENTS: Estimated number of OODs per 100 000 individuals between 2025 and 2030 in each community, averaged across the 26 communities.

findingsUnder the status quo, the model projected 158 OODs (range across communities: 39-468) per 100 000 individuals between 2025 and 2030. Increasing medications for the treatment of OUD (MOUD) retention alone reduced OODs by 6% (range: 3-15%), while increasing MOUD initiation alone reduced OODs by 9% (range: 8-12%). Increasing both MOUD initiation and retention had a synergistic effect, reducing OODs by 21% (range: 15-31%). Reduction in OODs in response to increased MOUD initiation and/or retention was similar across urban and rural communities. The effect of increasing naloxone distribution varied substantially across communities due to differing saturation levels; in some communities, additional naloxone kits provided only marginal benefits. Rural communities were further from saturation whereas most urban communities were at or close to saturation.

conclusionsA tailored, multi-pronged approach that scales up medications for opioid use disorder alongside widespread naloxone distribution, and that addresses community-specific needs and capacities, will be most effective at reducing opioid overdose deaths in the United States.

Indexed as

Drug OverdoseEvidence-Based PracticeOpiate OverdoseOpioid-Related DisordersAdultAnalgesics, OpioidComputer SimulationFemaleHumansNaloxoneNarcotic AntagonistsOpiate Substitution TreatmentUnited StatesAnalgesics, OpioidNaloxoneNarcotic Antagonistsbuprenorphinemethadonenaloxoneopioid overdose deathsopioid use disordersimulation modeling

Identifiers

PMID41786317
PMCPMC13307060

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.