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Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery
Opioid use disorder (OUD) has become a serious leading health issue in the USA leading to addiction, disability, or death by overdose. Research has shown that OUD can lead to a chronic lifelong disorder with greater risk for relapse and accidental overdose deaths. While the prescription opioid epide...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891131/ https://www.ncbi.nlm.nih.gov/pubmed/35237877 http://dx.doi.org/10.1007/s11538-022-01002-w |
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author | Cole, Sandra Wirkus, Stephen |
author_facet | Cole, Sandra Wirkus, Stephen |
author_sort | Cole, Sandra |
collection | PubMed |
description | Opioid use disorder (OUD) has become a serious leading health issue in the USA leading to addiction, disability, or death by overdose. Research has shown that OUD can lead to a chronic lifelong disorder with greater risk for relapse and accidental overdose deaths. While the prescription opioid epidemic is a relatively new phenomenon, illicit opioid use via heroin has been around for decades. Recently, additional illicit opioids such as fentanyl have become increasingly available and problematic. We propose a mathematical model that focuses on illicit OUD and includes a class for recovered users but allows for individuals to either remain in or relapse back to the illicit OUD class. Therefore, in our model, individuals may cycle in and out of three different classes: illicit OUD, treatment, and recovered. We additionally include a treatment function with saturation, as it has been shown there is limited accessibility to specialty treatment facilities. We used 2002–2019 SAMHSA and CDC data for the US population, scaled to a medium-sized city, to obtain parameter estimates for the specific case of heroin. We found that the overdose death rate has been increasing linearly since around 2011, likely due to the increased presence of fentanyl in the heroin supply. Extrapolation of this overdose death rate, together with the obtained parameter estimates, predict that by 2038 no endemic equilibrium will exist and the only stable equilibrium will correspond to the absence of heroin use disorder in the population. There is a range of parameter values that will give rise to a backward bifurcation above a critical saturation of treatment availability. We show this for a range of overdose death rate values, thus illustrating the critical role played by the availability of specialty treatment facilities. Sensitivity analysis consistently shows the significant role of people entering treatment on their own accord, which suggests the importance of removing two of the most prevalent SAMHSA-determined reasons that individuals do not enter treatment: financial constraints and the stigma of seeking treatment for heroin use disorder. |
format | Online Article Text |
id | pubmed-8891131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88911312022-03-08 Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery Cole, Sandra Wirkus, Stephen Bull Math Biol Original Article Opioid use disorder (OUD) has become a serious leading health issue in the USA leading to addiction, disability, or death by overdose. Research has shown that OUD can lead to a chronic lifelong disorder with greater risk for relapse and accidental overdose deaths. While the prescription opioid epidemic is a relatively new phenomenon, illicit opioid use via heroin has been around for decades. Recently, additional illicit opioids such as fentanyl have become increasingly available and problematic. We propose a mathematical model that focuses on illicit OUD and includes a class for recovered users but allows for individuals to either remain in or relapse back to the illicit OUD class. Therefore, in our model, individuals may cycle in and out of three different classes: illicit OUD, treatment, and recovered. We additionally include a treatment function with saturation, as it has been shown there is limited accessibility to specialty treatment facilities. We used 2002–2019 SAMHSA and CDC data for the US population, scaled to a medium-sized city, to obtain parameter estimates for the specific case of heroin. We found that the overdose death rate has been increasing linearly since around 2011, likely due to the increased presence of fentanyl in the heroin supply. Extrapolation of this overdose death rate, together with the obtained parameter estimates, predict that by 2038 no endemic equilibrium will exist and the only stable equilibrium will correspond to the absence of heroin use disorder in the population. There is a range of parameter values that will give rise to a backward bifurcation above a critical saturation of treatment availability. We show this for a range of overdose death rate values, thus illustrating the critical role played by the availability of specialty treatment facilities. Sensitivity analysis consistently shows the significant role of people entering treatment on their own accord, which suggests the importance of removing two of the most prevalent SAMHSA-determined reasons that individuals do not enter treatment: financial constraints and the stigma of seeking treatment for heroin use disorder. Springer US 2022-03-02 2022 /pmc/articles/PMC8891131/ /pubmed/35237877 http://dx.doi.org/10.1007/s11538-022-01002-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Cole, Sandra Wirkus, Stephen Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title | Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title_full | Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title_fullStr | Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title_full_unstemmed | Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title_short | Modeling the Dynamics of Heroin and Illicit Opioid Use Disorder, Treatment, and Recovery |
title_sort | modeling the dynamics of heroin and illicit opioid use disorder, treatment, and recovery |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891131/ https://www.ncbi.nlm.nih.gov/pubmed/35237877 http://dx.doi.org/10.1007/s11538-022-01002-w |
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