Subtypes in Patients Taking Prescribed Opioid Analgesics and Their Characteristics

A Latent Class Analysis

Bibliographic Data

ID15518408
AuthorsChristian Rauschert (0000-0003-2555-5347, IFT Institut für Therapieforschung), Nicki‐Nils Seitz (0000-0002-6745-1100, IFT Institut für Therapieforschung), Sally Olderbak (0000-0001-6133-0458, IFT Institut für Therapieforschung), Oliver Pogarell (0000-0001-6455-4190, Ludwig-Maximilians-Universität München), Tobias Dreischulte (0000-0003-2345-5377, Ludwig-Maximilians-Universität München), Lisa Kraus (0000-0001-7282-0217, IFT Institut für Therapieforschung, corresponding author)
Year2022
Volume13
Pages918371-918371
Publication date2022-07-08
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.918371
PMID35873263
OpenAlexW4284882933
LanguageEN
References cited8

The results add further evidence to the knowledge that patients using prescribed opioid analgesics are not a homogeneous group of individuals whose needs lie in pain management alone. Rather, it becomes clear that these patients differ in their individual risk of a prescription opioid use disorder, and therefore identification of specific risks plays an important role in early prevention

Latent class model · Medical prescription · Mental health · Opioid · Opioid use disorder · Polysubstance dependence · Psychiatry · Substance abuse · Clinical Psychology · Medicine · Opioid Use Disorder Treatment · Pain Management and Opioid Use · Poisoning and overdose treatments · Epidemiology · Internal Medicine · Pharmacology

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