A Tool to Assess Risk of de Novo Opioid Abuse or Dependence

American Journal of Medicine

Volumn 129, Issue 7, 2016, Pages 699-705.e4

  Ciesielski, Thomas ^a   Iyengar, Reethi ^b   Bothra, Amit ^b   Tomala, Dave ^b   Cislo, Geoffrey ^a   Gage, Brian F ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b Express Scripts   (United States)

Author keywords

Demographic factors; Opioid abuse; Opioid dependence; Pharmacy claims based factors; Predictive model; Prescription drug monitoring program

Indexed keywords

MORPHINE; OPIATE;

ADULT; AGE; ALCOHOL ABUSE; ARTICLE; COHORT ANALYSIS; FEMALE; GENDER; HUMAN; MALE; MENTAL DISEASE; OPIATE ADDICTION; POLYPHARMACY; PRESCRIPTION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; RISK ASSESSMENT; SUBSTANCE ABUSE; ALCOHOLISM; MENTAL DISORDERS; MIDDLE AGED; MULTIVARIATE ANALYSIS; ODDS RATIO; OPIOID-RELATED DISORDERS; PHARMACY; RISK FACTOR; SEX DIFFERENCE; STATISTICAL MODEL; SUBSTANCE-RELATED DISORDERS; UNITED STATES; UTILIZATION;

ADULT; AGE FACTORS; ALCOHOLISM; COHORT STUDIES; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MENTAL DISORDERS; MIDDLE AGED; MULTIVARIATE ANALYSIS; ODDS RATIO; OPIOID-RELATED DISORDERS; PHARMACIES; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; SEX FACTORS; SUBSTANCE-RELATED DISORDERS; UNITED STATES;

EID: 84962493365     PISSN: 00029343     EISSN: 15557162     Source Type: Journal    
DOI: 10.1016/j.amjmed.2016.02.014     Document Type: Article

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