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A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder

As the opioid epidemic continues to grow across the United States, the number of patients requiring treatment for opioid use disorder continues to climb. Although medication-assisted treatment presents a highly effective tool that can help address this epidemic, its use has been limited. Nonetheless...

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Autores principales: Seguí, Hemanuel Arroyo, Melin, Kyle, Quiñones, Darlene Santiago, Duconge, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709797/
https://www.ncbi.nlm.nih.gov/pubmed/33274315
http://dx.doi.org/10.20517/jtgg.2020.35
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author Seguí, Hemanuel Arroyo
Melin, Kyle
Quiñones, Darlene Santiago
Duconge, Jorge
author_facet Seguí, Hemanuel Arroyo
Melin, Kyle
Quiñones, Darlene Santiago
Duconge, Jorge
author_sort Seguí, Hemanuel Arroyo
collection PubMed
description As the opioid epidemic continues to grow across the United States, the number of patients requiring treatment for opioid use disorder continues to climb. Although medication-assisted treatment presents a highly effective tool that can help address this epidemic, its use has been limited. Nonetheless, with easier dosing protocols (compared to the more complex dosing required of methadone due to its long and variable half-life) and fewer prescribing limitations (may be prescribed outside the setting of federally approved clinics), the increase in buprenorphine use in the United States has been dramatic in recent years. Despite buprenorphine’s demonstrated efficacy, patient-specific factors can alter the response to the medications, which may lead to treatment failure in some patients. Clinical characteristics (sex, concurrent medications, and mental health comorbidities) as well as social determinants of health (housing status, involvement with the criminal justice system, and socioeconomic status) may impact treatment outcomes. Furthermore, a growing body of data suggests that genetic variations can alter pharmacological effects and influence therapeutic response. This review will cover the available pharmacogenomic data for the use of buprenorphine in the management of opioid use disorders. Pharmacogenomic determinants that affect opioid receptors, the dopaminergic system, metabolism of buprenorphine, and adverse events are discussed. Although much of the existing data comes from observational studies, clinical research is ongoing. Nevertheless, the development of pharmacogenomic-guided strategies has the potential to reduce opioid misuse, improve clinical outcomes, and save healthcare resources.
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spelling pubmed-77097972020-12-02 A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder Seguí, Hemanuel Arroyo Melin, Kyle Quiñones, Darlene Santiago Duconge, Jorge J Transl Genet Genom Article As the opioid epidemic continues to grow across the United States, the number of patients requiring treatment for opioid use disorder continues to climb. Although medication-assisted treatment presents a highly effective tool that can help address this epidemic, its use has been limited. Nonetheless, with easier dosing protocols (compared to the more complex dosing required of methadone due to its long and variable half-life) and fewer prescribing limitations (may be prescribed outside the setting of federally approved clinics), the increase in buprenorphine use in the United States has been dramatic in recent years. Despite buprenorphine’s demonstrated efficacy, patient-specific factors can alter the response to the medications, which may lead to treatment failure in some patients. Clinical characteristics (sex, concurrent medications, and mental health comorbidities) as well as social determinants of health (housing status, involvement with the criminal justice system, and socioeconomic status) may impact treatment outcomes. Furthermore, a growing body of data suggests that genetic variations can alter pharmacological effects and influence therapeutic response. This review will cover the available pharmacogenomic data for the use of buprenorphine in the management of opioid use disorders. Pharmacogenomic determinants that affect opioid receptors, the dopaminergic system, metabolism of buprenorphine, and adverse events are discussed. Although much of the existing data comes from observational studies, clinical research is ongoing. Nevertheless, the development of pharmacogenomic-guided strategies has the potential to reduce opioid misuse, improve clinical outcomes, and save healthcare resources. 2020-07-30 2020 /pmc/articles/PMC7709797/ /pubmed/33274315 http://dx.doi.org/10.20517/jtgg.2020.35 Text en Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Seguí, Hemanuel Arroyo
Melin, Kyle
Quiñones, Darlene Santiago
Duconge, Jorge
A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title_full A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title_fullStr A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title_full_unstemmed A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title_short A review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
title_sort review of the pharmacogenomics of buprenorphine for the treatment of opioid use disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709797/
https://www.ncbi.nlm.nih.gov/pubmed/33274315
http://dx.doi.org/10.20517/jtgg.2020.35
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