Using prescribing and toxicology data to determine non-medical prescription drug overdose.
Non-medical prescription drug use
Opioids
Overdose
PDMP
Toxicology
Journal
Addictive behaviors reports
ISSN: 2352-8532
Titre abrégé: Addict Behav Rep
Pays: Netherlands
ID NLM: 101656077
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
01
02
2020
revised:
28
05
2020
accepted:
03
06
2020
entrez:
9
7
2020
pubmed:
9
7
2020
medline:
9
7
2020
Statut:
epublish
Résumé
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. 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). 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). Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
Sections du résumé
BACKGROUND
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
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
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
CONCLUSIONS
Linked PDMP and toxicology reports are useful in identifying drug use patterns that contribute to mortality.
Identifiants
pubmed: 32637565
doi: 10.1016/j.abrep.2020.100289
pii: S2352-8532(20)30104-8
pii: 100289
pmc: PMC7330872
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100289Informations de copyright
© 2020 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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