A latent class analysis of illicit drug abuse/dependence: results from the National Epidemiological Survey on Alcohol and Related Conditions

Arpana Agrawal, Michael T Lynskey, Pamela A F Madden, Kathleen K Bucholz, Andrew C Heath

Research output: Contribution to journalArticlepeer-review

148 Citations (Scopus)

Abstract

Aims: We examine the co-occurrence of abuse/dependence across different illicit drugs and test associations between these classes and major psychiatric disorders.

Method: Latent class analyses were used to characterize polysubstance abuse/dependence (AB/D) in 43 093 individuals who participated in the National Epidemiological Survey on Alcohol and Related Conditions. Multinomial logistic regression was performed to examine the association between the classes of life-time illicit drug AB/D and gender, age and race, as well as life-time Diagnostic and Statistical Manual version IV (DSM-IV) alcohol abuse/dependence, nicotine dependence, major depressive disorder, generalized anxiety disorder, panic disorder, social phobia and antisocial personality disorder.

Results: Five latent classes were identified: no AB/D (class 1: 92.5%), cannabis AB/D only (class 2: 5.8%), stimulants + hallucinogen AB/D (class 3: 0.6%), prescription drug AB/D (class 4: 0.6%) and polysubstance AB/D (class 5: 0.5%). Major depressive disorder and nicotine dependence were associated most strongly with class 5. Anxiety disorders were associated strongly with the prescription drug AB/D class while alcohol AB/D and ASPD were associated with classes 2, 3, 4 and 5 when compared to the reference class (class 1).

Conclusions: Significant heterogeneity exists in this US population for polysubstance AB/D patterns with evidence for a subgroup with high rates of sedative, tranquilizer and opiate AB/D and a history of anxiety disorders, a stimulant/hallucinogens group, a high-risk group with elevated rates of all psychiatric disorders and a milder cannabis AB/D only group. Replication of such classes across other samples has significant implications, such as characterizing risk groups that may be etiologically diverse.
Original languageEnglish
Article numberN/A
Pages (from-to)94-104
Number of pages11
JournalAddiction
Volume102
Issue number1
DOIs
Publication statusPublished - Jan 2007

Keywords

  • Adolescent
  • Adult
  • Anxiety Disorders
  • Depressive Disorder
  • Diagnosis, Dual (Psychiatry)
  • Diagnostic and Statistical Manual of Mental Disorders
  • Female
  • Humans
  • Logistic Models
  • Male
  • Middle Aged
  • Substance-Related Disorders
  • United States

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