An individual-based dynamic model to assess interventions to mitigate opioid overdose risk

Within a multi-faceted harm reduction approach, scaling up take-home naloxone, and reducing fentanyl in the drug supply led to the largest reduction in opioid overdose fatality in Toronto. Detailed model simulation studies provide an additional tool to assess and inform public health policy on harm reduction.

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Institutions

Publication Details

Journal
Harm Reduction Journal
Published
2024-08-12
DOI
https://doi.org/10.1186/s12954-024-01069-9
Citations
1
Primary Topic
Opioid Use Disorder Treatment
Type
article
Field-Weighted Citation Impact
0.54

Funders

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article

An individual-based dynamic model to assess interventions to mitigate opioid overdose risk

Kirsten Gallant, Ryan Lukeman
1 citations
Harm Reduction Journal
Opioid Use Disorder Treatment
0.54
article

An individual-based dynamic model to assess interventions to mitigate opioid overdose risk

Kirsten Gallant, Ryan Lukeman
article en
1 citations

Abstract

Within a multi-faceted harm reduction approach, scaling up take-home naloxone, and reducing fentanyl in the drug supply led to the largest reduction in opioid overdose fatality in Toronto. Detailed model simulation studies provide an additional tool to assess and inform public health policy on harm reduction.

Harm Reduction JournalVol. 21(1)
St. Francis Xavier University (CA)
Nova Scotia Health Research Foundation, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 30%
Opioid Use Disorder Treatment
0.54
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