Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder

Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algori...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pharmacogenomics and personalized medicine Jg. 10; S. 187 - 195
Hauptverfasser:	Brenton, Ashley, Richeimer, Steven, Sharma, Maneesh, Lee, Chee, Kantorovich, Svetlana, Blanchard, John, Meshkin, Brian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New Zealand Dove Medical Press Limited 01.01.2017 Taylor & Francis Ltd Dove Medical Press
Schlagworte:	Addiction Addictions Alcohol Algorithms Chronic pain Cocaine Diagnosis Dopamine Drug abuse Drug addiction Evaluation Genes Genetic Testing Genetics Health status indicators Identification and classification Narcotics Observational studies Opioid abuse Opioid Use Disorder Original Research Pain Patients Personalized Medicine Pharmacogenetics Population Precision medicine Predictive Algorithm Prescription drugs Psychiatry Schizophrenia Single nucleotide polymorphisms Substance abuse treatment Los Angeles California United States > US opioid use disorder predictive algorithm genetic testing pharmacogenetics addiction personalized medicine
ISSN:	1178-7066, 1178-7066
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!