» Articles » PMID: 32771004

The Opioid Crisis: Need for Systems Science Research

Overview
Publisher Biomed Central
Date 2020 Aug 11
PMID 32771004
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

The opioid epidemic in the United States has had a devastating impact on millions of people as well as on their families and communities. The increased prevalence of opioid misuse, use disorder and overdose in recent years has highlighted the need for improved public health approaches for reducing the tremendous harms of this illness. In this paper, we explain and call for the need for more systems science approaches, which can uncover the complexities of the opioid crisis, and help evaluate, analyse and forecast the effectiveness of ongoing and new policy interventions. Similar to how a stream of systems science research helped policy development in infectious diseases and obesity, more systems science research is needed in opioids.

Citing Articles

A Dynamic Model of Opioid Overdose Deaths in Canada during the Co-Occurring Opioid Overdose Crisis and COVID-19 Pandemic.

Zahan R, Osgood N, Plouffe R, Orpana H Int J Environ Res Public Health. 2024; 21(4).

PMID: 38673354 PMC: 11050073. DOI: 10.3390/ijerph21040442.


Psychosocial factors associated with overdose subsequent to Illicit Drug use: a systematic review and narrative synthesis.

Byrne C, Sani F, Thain D, Fletcher E, Malaguti A Harm Reduct J. 2024; 21(1):81.

PMID: 38622647 PMC: 11017611. DOI: 10.1186/s12954-024-00999-8.


Long-Term Effects of Increasing Buprenorphine Treatment Seeking, Duration, and Capacity on Opioid Overdose Fatalities: A Model-based Analysis.

Stringfellow E, Lim T, DiGennaro C, Zhang Z, Paramasivam P, Bearnot B J Addict Med. 2023; 17(4):439-446.

PMID: 37579104 PMC: 10460819. DOI: 10.1097/ADM.0000000000001153.


Opioid-related harms and care impacts of conventional and AI-based prescription management strategies: insights from leveraging agent-based modeling and machine learning.

Shojaati N, Osgood N Front Digit Health. 2023; 5:1174845.

PMID: 37408540 PMC: 10318360. DOI: 10.3389/fdgth.2023.1174845.


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

Stringfellow E, Lim T, Humphreys K, DiGennaro C, Stafford C, Beaulieu E Sci Adv. 2022; 8(25):eabm8147.

PMID: 35749492 PMC: 9232111. DOI: 10.1126/sciadv.abm8147.


References
1.
Wakeland W, Nielsen A, Geissert P . Dynamic model of nonmedical opioid use trajectories and potential policy interventions. Am J Drug Alcohol Abuse. 2015; 41(6):508-18. PMC: 4685710. DOI: 10.3109/00952990.2015.1043435. View

2.
Pitt A, Humphreys K, Brandeau M . Modeling Health Benefits and Harms of Public Policy Responses to the US Opioid Epidemic. Am J Public Health. 2018; 108(10):1394-1400. PMC: 6137764. DOI: 10.2105/AJPH.2018.304590. View

3.
Sharareh N, Sabounchi S, McFarland M, Hess R . Evidence of Modeling Impact in Development of Policies for Controlling the Opioid Epidemic and Improving Public Health: A Scoping Review. Subst Abuse. 2019; 13:1178221819866211. PMC: 6689912. DOI: 10.1177/1178221819866211. View

4.
Jalali M, Botticelli M, Hwang R, Koh H, McHugh R . The opioid crisis: a contextual, social-ecological framework. Health Res Policy Syst. 2020; 18(1):87. PMC: 7409444. DOI: 10.1186/s12961-020-00596-8. View

5.
Smart R, Kase C, Taylor E, Lumsden S, Smith S, Stein B . Strengths and weaknesses of existing data sources to support research to address the opioids crisis. Prev Med Rep. 2020; 17:101015. PMC: 6971390. DOI: 10.1016/j.pmedr.2019.101015. View