Evidence map›Paper›PMID 35151372›Full record

ReviewThe Lancet. Public health2022

Estimating naloxone need in the USA across fentanyl, heroin, and prescription opioid epidemics: a modelling study.

Michael A Irvine, Declan Oller, Jesse Boggis, Brian Bishop, Daniel Coombs, Eliza Wheeler, Maya Doe-Simkins, Alexander Y Walley, Brandon D L Marshall, Jeffrey Bratberg and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in The Lancet. Public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
22.6field-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

71 citing papers in PubMed, 1 synthesis or guideline pooled it, 120 citations in OpenAlex.

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  12. Policy recommendations for overdose response hotlines and applications as a harm reduction tool: A commentary.Canadian journal of public health = Revue canadienne de sante publique · 2026
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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 2 countries.

Michael A IrvineBritish Columbia Centre for Disease Control, Vancouver, BC, Canada; Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Declan OllerProvidence, RI, USA.
Jesse BoggisHeller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Brian BishopUniversity of Rhode Island College of Pharmacy, Kingston, RI, USA.
Daniel CoombsDepartment of Mathematics, University of British Columbia, Vancouver, BC, Canada.
Eliza WheelerSan Francisco, CA, USA.
Maya Doe-SimkinsChicago, IL, USA.
Alexander Y WalleyBoston Medical Center, Crosstown Center, Boston, MA, USA.
Brandon D L MarshallBrown University School of Public Health, Providence, RI, USA.
Jeffrey BratbergUniversity of Rhode Island College of Pharmacy, Kingston, RI, USA.
Traci C GreenHeller School for Social Policy and Management, Brandeis University, Waltham, MA, USA; Brown University School of Public Health, Providence, RI, USA. Electronic address: tracigreen@brandeis.edu.
Brandeis University · USBC Centre for Disease Control · CABoston Medical Center · USBrown University · USProvidence College · USRhode Island College · USUniversity of British Columbia · CAUniversity of Rhode Island · US

Funding

Project 4: Neonatal Abstinence Syndrome (NAS): Fetus to First YearsP20GM125507 · NIGMS · RHODE ISLAND HOSPITAL · PI Ju Nyeong Park · 2018 to 2026
$23.4M
Intervention to Increase Naloxone Engagement and Distribution in Community Pharmacies: A Four-State Randomized TrialR01DA045745 · NIDA · BRANDEIS UNIVERSITY · PI GREEN, TRACI C · 2018 to 2021
$3.1M
AHRQ HHS R18 HS024021NIDA NIH HHS R01 DA045745NIDA NIH HHS R01 DAQ45745NIGMS NIH HHS P20 GM125507
6 · The paper itself

Abstract

backgroundThe US overdose crisis is driven by fentanyl, heroin, and prescription opioids. One evidence-based policy response has been to broaden naloxone distribution, but how much naloxone a community would need to reduce the incidence of fatal overdose is unclear. We aimed to estimate state-level US naloxone need in 2017 across three main naloxone access points (community-based programmes, provider prescription, and pharmacy-initiated distribution) and by dominant opioid epidemic type (fentanyl, heroin, and prescription opioid).

methodsIn this modelling study, we developed, parameterised, and applied a mechanistic model of risk of opioid overdose and used it to estimate the expected reduction in opioid overdose mortality after deployment of a given number of two-dose naloxone kits. We performed a literature review and used a modified-Delphi panel to inform parameter definitions. We refined an established model of the population at risk of overdose by incorporating changes in the toxicity of the illicit drug supply and in the naloxone access point, then calibrated the model to 2017 using data obtained from proprietary data sources, state health departments, and national surveys for 12 US states that were representative of each epidemic type. We used counterfactual modelling to project the effect of increased naloxone distribution on the estimated number of opioid overdose deaths averted with naloxone and the number of naloxone kits needed to be available for at least 80% of witnessed opioid overdoses, by US state and access point.

findingsNeed for naloxone differed by epidemic type, with fentanyl epidemics having the consistently highest probability of naloxone use during witnessed overdose events (range 58-76% across the three modelled states in this category) and prescription opioid-dominated epidemics having the lowest (range 0-20%). Overall, in 2017, community-based and pharmacy-initiated naloxone access points had higher probability of naloxone use in witnessed overdose and higher numbers of deaths averted per 100 000 people in state-specific results with these two access points than with provider-prescribed access only. To achieve a target of naloxone use in 80% of witnessed overdoses, need varied from no additional kits (estimated as sufficient) to 1270 kits needed per 100 000 population across the 12 modelled states annually. In 2017, only Arizona had sufficient kits to meet this target.

interpretationOpioid epidemic type and how naloxone is accessed have large effects on the number of naloxone kits that need to be distributed, the probability of naloxone use, and the number of deaths due to overdose averted. The extent of naloxone distribution, especially through community-based programmes and pharmacy-initiated access points, warrants substantial expansion in nearly every US state.

fundingNational Institute of Health, National Institute on Drug Abuse.

Indexed as

Drug OverdoseOpiate OverdoseAnalgesics, OpioidFentanylHeroinHumansNaloxoneNarcotic AntagonistsOpioid EpidemicPrescriptionsUnited StatesAnalgesics, OpioidFentanylHeroinNaloxoneNarcotic Antagonists

Identifiers

PMID35151372
PMCPMC10937095
OpenAlexW4211089555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.