Cargando…

Using prescribing and toxicology data to determine non-medical prescription drug overdose

BACKGROUND: Overdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for “overdose typologies”, including non-medical prescription drug use, to more accurately describe drug use patterns. METHODS: This study ex...

Descripción completa

Detalles Bibliográficos
Autores principales: Huynh, Philip, Victor, Grant, Ray, Brad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330872/
https://www.ncbi.nlm.nih.gov/pubmed/32637565
http://dx.doi.org/10.1016/j.abrep.2020.100289
_version_ 1783553211496398848
author Huynh, Philip
Victor, Grant
Ray, Brad
author_facet Huynh, Philip
Victor, Grant
Ray, Brad
author_sort Huynh, Philip
collection PubMed
description BACKGROUND: Overdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for “overdose typologies”, including non-medical prescription drug use, to more accurately describe drug use patterns. METHODS: This study examined linked prescription drug monitoring program (PDMP) and toxicology data (2016–2018) from accidental overdose deaths from a large metropolitan coroner’s office in the Midwest (Indianapolis, Indiana). RESULTS: In total, 1,112 accidental overdose deaths occurred and over two-thirds (68.0%; n = 756) were coded as an illicit drug user with no prescription opioid present in the toxicology. The most infrequent categories were prescription opioid users 5.5% (n = 61). CONCLUSION: Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
format Online
Article
Text
id pubmed-7330872
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-73308722020-07-06 Using prescribing and toxicology data to determine non-medical prescription drug overdose Huynh, Philip Victor, Grant Ray, Brad Addict Behav Rep Research paper BACKGROUND: Overdose deaths have increased dramatically in the United States and are often attributed to prescription opioids. This study presents a framework for “overdose typologies”, including non-medical prescription drug use, to more accurately describe drug use patterns. METHODS: This study examined linked prescription drug monitoring program (PDMP) and toxicology data (2016–2018) from accidental overdose deaths from a large metropolitan coroner’s office in the Midwest (Indianapolis, Indiana). RESULTS: In total, 1,112 accidental overdose deaths occurred and over two-thirds (68.0%; n = 756) were coded as an illicit drug user with no prescription opioid present in the toxicology. The most infrequent categories were prescription opioid users 5.5% (n = 61). CONCLUSION: Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality. Elsevier 2020-06-08 /pmc/articles/PMC7330872/ /pubmed/32637565 http://dx.doi.org/10.1016/j.abrep.2020.100289 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research paper
Huynh, Philip
Victor, Grant
Ray, Brad
Using prescribing and toxicology data to determine non-medical prescription drug overdose
title Using prescribing and toxicology data to determine non-medical prescription drug overdose
title_full Using prescribing and toxicology data to determine non-medical prescription drug overdose
title_fullStr Using prescribing and toxicology data to determine non-medical prescription drug overdose
title_full_unstemmed Using prescribing and toxicology data to determine non-medical prescription drug overdose
title_short Using prescribing and toxicology data to determine non-medical prescription drug overdose
title_sort using prescribing and toxicology data to determine non-medical prescription drug overdose
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330872/
https://www.ncbi.nlm.nih.gov/pubmed/32637565
http://dx.doi.org/10.1016/j.abrep.2020.100289
work_keys_str_mv AT huynhphilip usingprescribingandtoxicologydatatodeterminenonmedicalprescriptiondrugoverdose
AT victorgrant usingprescribingandtoxicologydatatodeterminenonmedicalprescriptiondrugoverdose
AT raybrad usingprescribingandtoxicologydatatodeterminenonmedicalprescriptiondrugoverdose