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Effects of naloxone distribution to likely bystanders

Results of an agent-based model

Datos Bibliográficos

ID14907172
AutoresChristopher Keane (0000-0003-2598-9276, University of Pittsburgh), James E Egan (0000-0003-3888-7148, University of Pittsburgh), Mary Hawk (0000-0001-9753-4356, University of Pittsburgh, autor de correspondencia)
Año2018
Volumen55
Páginas61-69
Fecha de publicación2018-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Drug Policy (JOURNAL)
Identificadores de la revistaISSN: 0955-3959 • E-ISSN: 1873-4758
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.drugpo.2018.02.008
PMID29524734
OpenAlexW2790284514
IdiomaEN
Citas recibidas18
Referencias citadas40

Community-based naloxone distribution to reverse opioid overdose may significantly reduce deaths. Optimal distribution methods may include secondary distribution so that the person who picks up naloxone kits can enable others in the community to administer naloxone, as well as targeting naloxone distribution to sites where individuals at high-risk for opioid overdose death are likely to visit, such as syringe-exchange programs. This study design, which paired exploratory qualitative data with agent-based modeling, can be used in other settings seeking to implement and improve naloxone distribution programs

Distribution (mathematics · Drug overdose · Medical emergency · Opioid · Opioid overdose · Poison control · Psychiatry · HIV, Drug Use, Sexual Risk · Medicine · Opioid Use Disorder Treatment · Substance Abuse Treatment and Outcomes · Emergency Medicine · Internal Medicine

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Obras citantes distintas18
Citas por año2,57
Intervalo de citas2019 - 2026 (8)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 18
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