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Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis

Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strat...

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Autores principales: Stringfellow, Erin J., Lim, Tse Yang, Humphreys, Keith, DiGennaro, Catherine, Stafford, Celia, Beaulieu, Elizabeth, Homer, Jack, Wakeland, Wayne, Bearnot, Benjamin, McHugh, R. Kathryn, Kelly, John, Glos, Lukas, Eggers, Sara L., Kazemi, Reza, Jalali, Mohammad S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232111/
https://www.ncbi.nlm.nih.gov/pubmed/35749492
http://dx.doi.org/10.1126/sciadv.abm8147
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author Stringfellow, Erin J.
Lim, Tse Yang
Humphreys, Keith
DiGennaro, Catherine
Stafford, Celia
Beaulieu, Elizabeth
Homer, Jack
Wakeland, Wayne
Bearnot, Benjamin
McHugh, R. Kathryn
Kelly, John
Glos, Lukas
Eggers, Sara L.
Kazemi, Reza
Jalali, Mohammad S.
author_facet Stringfellow, Erin J.
Lim, Tse Yang
Humphreys, Keith
DiGennaro, Catherine
Stafford, Celia
Beaulieu, Elizabeth
Homer, Jack
Wakeland, Wayne
Bearnot, Benjamin
McHugh, R. Kathryn
Kelly, John
Glos, Lukas
Eggers, Sara L.
Kazemi, Reza
Jalali, Mohammad S.
author_sort Stringfellow, Erin J.
collection PubMed
description Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strategies spanned opioid misuse and OUD prevention, buprenorphine capacity, recovery support, and overdose harm reduction. By 2032, three strategies saved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be achieved through fentanyl-focused harm reduction services; (ii) increasing naloxone distribution to people who use opioids; and (iii) recovery support for people in remission, which reduced deaths by reducing OUD. Increasing buprenorphine providers’ capacity to treat more people decreased fatal overdose, but only in the short term. Our analysis provides insight into the kinds of multifaceted approaches needed to save lives.
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spelling pubmed-92321112022-07-08 Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis Stringfellow, Erin J. Lim, Tse Yang Humphreys, Keith DiGennaro, Catherine Stafford, Celia Beaulieu, Elizabeth Homer, Jack Wakeland, Wayne Bearnot, Benjamin McHugh, R. Kathryn Kelly, John Glos, Lukas Eggers, Sara L. Kazemi, Reza Jalali, Mohammad S. Sci Adv Social and Interdisciplinary Sciences Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strategies spanned opioid misuse and OUD prevention, buprenorphine capacity, recovery support, and overdose harm reduction. By 2032, three strategies saved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be achieved through fentanyl-focused harm reduction services; (ii) increasing naloxone distribution to people who use opioids; and (iii) recovery support for people in remission, which reduced deaths by reducing OUD. Increasing buprenorphine providers’ capacity to treat more people decreased fatal overdose, but only in the short term. Our analysis provides insight into the kinds of multifaceted approaches needed to save lives. American Association for the Advancement of Science 2022-06-24 /pmc/articles/PMC9232111/ /pubmed/35749492 http://dx.doi.org/10.1126/sciadv.abm8147 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Social and Interdisciplinary Sciences
Stringfellow, Erin J.
Lim, Tse Yang
Humphreys, Keith
DiGennaro, Catherine
Stafford, Celia
Beaulieu, Elizabeth
Homer, Jack
Wakeland, Wayne
Bearnot, Benjamin
McHugh, R. Kathryn
Kelly, John
Glos, Lukas
Eggers, Sara L.
Kazemi, Reza
Jalali, Mohammad S.
Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title_full Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title_fullStr Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title_full_unstemmed Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title_short Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis
title_sort reducing opioid use disorder and overdose deaths in the united states: a dynamic modeling analysis
topic Social and Interdisciplinary Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232111/
https://www.ncbi.nlm.nih.gov/pubmed/35749492
http://dx.doi.org/10.1126/sciadv.abm8147
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