Evidence map›Paper›PMID 39656460›Full record

ArticleJAMA network open2024

Agent-Based Model of Combined Community- and Jail-Based Take-Home Naloxone Distribution.

Eric Tatara, Jonathan Ozik, Harold A Pollack, John A Schneider, Samuel R Friedman, Nina T Harawa, Basmattee Boodram, Elizabeth Salisbury-Afshar, Anna Hotton, Larry Ouellet and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Socioenvironmental disasters and the dialectics of overdose mortality.The International journal on drug policy · 2026
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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

13 authors.

Eric TataraDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, Illinois.
Jonathan OzikDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, Illinois.
Harold A PollackDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois.
John A SchneiderDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois.
Samuel R FriedmanCenter for Opioid Epidemiology and Policy, Department of Population Health, New York University (NYU) Grossman School of Medicine, New York.
Nina T HarawaFielding School of Public Health, UCLA (University of California, Los Angeles).
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, The University of Illinois, Chicago.
Elizabeth Salisbury-AfsharDepartment of Family Medicine and Community Health, University of Wisconsin at Madison, Madison.
Anna HottonDepartment of Medicine, The University of Chicago, Chicago, Illinois.
Larry OuelletDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago.
Mary Ellen Mackesy-AmitiDivision of Community Health Sciences, School of Public Health, The University of Illinois, Chicago.
Nicholson CollierDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, Illinois.
Charles M MacalDecision and Infrastructure Sciences Division, Argonne National Laboratory, Lemont, Illinois.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
Methodology and Advanced Analytics Resource Center 2.0UM1DA050098 · NIDA · UNIVERSITY OF CHICAGO · PI Russell Brewer, HAROLD Alexander POLLACK · 2024 to 2026
$8.4M
NIDA NIH HHS P30 DA011041NIDA NIH HHS U2C DA050098NIDA NIH HHS UM1 DA050098
6 · The paper itself

Abstract

Importance: Opioid-related overdose accounts for almost 80 000 deaths annually across the US. People who use drugs leaving jails are at particularly high risk for opioid-related overdose and may benefit from take-home naloxone (THN) distribution. Objective: To estimate the population impact of THN distribution at jail release to reverse opioid-related overdose among people with opioid use disorders. Design, Setting, and Participants: This study developed the agent-based Justice-Community Circulation Model (JCCM) to model a synthetic population of individuals with and without a history of opioid use. Epidemiological data from 2014 to 2020 for Cook County, Illinois, were used to identify parameters pertinent to the synthetic population. Twenty-seven experimental scenarios were examined to capture diverse strategies of THN distribution and use. Sensitivity analysis was performed to identify critical mediating and moderating variables associated with population impact and a proxy metric for cost-effectiveness (ie, the direct costs of THN kits distributed per death averted). Data were analyzed between February 2022 and March 2024. Intervention: Modeled interventions included 3 THN distribution channels: community facilities and practitioners; jail, at release; and social network or peers of persons released from jail. Main Outcomes and Measures: The primary outcome was the percentage of opioid-related overdose deaths averted with THN in the modeled population relative to a baseline scenario with no intervention. Results: Take-home naloxone distribution at jail release had the highest median (IQR) percentage of averted deaths at 11.70% (6.57%-15.75%). The probability of bystander presence at an opioid overdose showed the greatest proportional contribution (27.15%) to the variance in deaths averted in persons released from jail. The estimated costs of distributed THN kits were less than $15 000 per averted death in all 27 scenarios. Conclusions and Relevance: This study found that THN distribution at jail release is an economical and feasible approach to substantially reducing opioid-related overdose mortality. Training and preparation of proficient and willing bystanders are central factors in reaching the full potential of this intervention.

Indexed as

NaloxoneNarcotic AntagonistsOpioid-Related DisordersAdultDrug OverdoseFemaleHumansIllinoisJailsMaleOpiate OverdoseNaloxoneNarcotic Antagonists

Identifiers

PMID39656460
PMCPMC11632540

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.