Evidence map›Paper›PMID 38568691›Full record

ArticleJAMA network open2024

Public Health Interventions and Overdose-Related Outcomes Among Persons With Opioid Use Disorder.

Nisha Nataraj, S Michaela Rikard, Kun Zhang, Xinyi Jiang, Gery P Guy, Ketra Rice, Christine L Mattson, R Matthew Gladden, Desiree M Mustaquim, Zachary N Illg and 3 more

Open access · goldAbstract 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
13.0field-weighted citation impact, top 1% of its field
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

18 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Emergency Department-Based Medication for Opioid Use Disorder: A 5-Year Experience.Journal of the American College of Emergency Physicians open · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

13 authors at 2 institutions in 1 country.

Nisha NatarajDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
S Michaela RikardDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Kun ZhangDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Xinyi JiangDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Gery P GuyDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Ketra RiceDivision of Injury Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Christine L MattsonDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
R Matthew GladdenDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Desiree M MustaquimDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Zachary N IllgDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Puja SethDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Rita K NoonanDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Jan L LosbyDivision of Overdose Prevention, National Center for Injury Prevention and Control, US Centers for Disease Control and Prevention, Atlanta, Georgia.
Centers for Disease Control and Prevention · USNational Center for Injury Prevention and Control · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Given the high number of opioid overdose deaths in the US and the complex epidemiology of opioid use disorder (OUD), systems models can serve as a tool to identify opportunities for public health interventions. Objective: To estimate the projected 3-year association between public health interventions and opioid overdose-related outcomes among persons with OUD. Design, Setting, and Participants: This decision analytical model used a simulation model of the estimated US population aged 12 years and older with OUD that was developed and analyzed between January 2019 and December 2023. The model was parameterized and calibrated using 2019 to 2020 data and used to estimate the relative change in outcomes associated with simulated public health interventions implemented between 2021 and 2023. Main Outcomes and Measures: Projected OUD and medications for OUD (MOUD) prevalence in 2023 and number of nonfatal and fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. Results: In a baseline scenario assuming parameters calibrated using 2019 to 2020 data remained constant, the model projected more than 16 million persons with OUD not receiving MOUD treatment and nearly 1.7 million persons receiving MOUD treatment in 2023. Additionally, the model projected over 5 million nonfatal and over 145 000 fatal opioid-involved overdoses among persons with OUD between 2021 and 2023. When simulating combinations of interventions that involved reducing overdose rates by 50%, the model projected decreases of up to 35.2% in nonfatal and 36.6% in fatal opioid-involved overdoses among persons with OUD. Interventions specific to persons with OUD not currently receiving MOUD treatment demonstrated the greatest reduction in numbers of nonfatal and fatal overdoses. Combinations of interventions that increased MOUD initiation and decreased OUD recurrence were projected to reduce OUD prevalence by up to 23.4%, increase MOUD prevalence by up to 137.1%, and reduce nonfatal and fatal opioid-involved overdoses among persons with OUD by 6.7% and 3.5%, respectively. Conclusions and Relevance: In this decision analytical model study of persons with OUD, findings suggested that expansion of evidence-based interventions that directly reduce the risk of overdose fatality among persons with OUD, such as through harm reduction efforts, could engender the highest reductions in fatal overdoses in the short-term. Interventions aimed at increasing MOUD initiation and retention of persons in treatment projected considerable improvement in MOUD and OUD prevalence but could require a longer time horizon for substantial reductions in opioid-involved overdoses.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansPublic HealthAnalgesics, Opioid

Identifiers

PMID38568691
PMCPMC10993074
OpenAlexW4393870663

What OpenQuestion 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 OpenQuestion graph.