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

Philip Huynh, Grant Victor, Brad Ray

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number100289
JournalAddictive Behaviors Reports
Volume12
DOIs
StatePublished - Dec 2020
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health

Keywords

  • Non-medical prescription drug use
  • Opioids
  • Overdose
  • PDMP
  • Toxicology

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