Psychometric modeling of abuse and dependence symptoms across six illicit substances indicates novel dimensions of misuse

Addict Behav. 2016 Feb:53:132-40. doi: 10.1016/j.addbeh.2015.10.015. Epub 2015 Oct 17.

Abstract

Aims: This study explored the factor structure of DSM III-R/IV symptoms for substance abuse and dependence across six illicit substance categories in a population-based sample of males.

Method: DSM III-R/IV drug abuse and dependence symptoms for cannabis, sedatives, stimulants, cocaine, opioids and hallucinogens from 4179 males born 1940-1970 from the population-based Virginia Adult Twin Study of Psychiatric and Substance Use Disorders were analyzed. Confirmatory factor analyses tested specific hypotheses regarding the latent structure of substance misuse for a comprehensive battery of 13 misuse symptoms measured across six illicit substance categories (78 items).

Results: Among the models fit, the latent structure of substance misuse was best represented by a combination of substance-specific factors and misuse symptom-specific factors. We found no support for a general liability factor to illicit substance misuse.

Conclusions: Results indicate that liability to misuse illicit substances is drug class specific, with little evidence for a general liability factor. Additionally, unique dimensions capturing propensity toward specific misuse symptoms (e.g., tolerance, withdrawal) across substances were identified. While this finding requires independent replication, the possibility of symptom-specific misuse factors, present in multiple substances, raises the prospect of genetic, neurobiological and behavioral predispositions toward distinct, narrowly defined features of drug abuse and dependence.

Keywords: Cannabis; Cocaine; DSM; Dependence; Factor analysis; Opioids.

Publication types

  • Research Support, N.I.H., Extramural
  • Twin Study

MeSH terms

  • Adult
  • Analgesics, Opioid
  • Cannabis
  • Central Nervous System Stimulants
  • Cocaine
  • Factor Analysis, Statistical
  • Hallucinogens
  • Humans
  • Hypnotics and Sedatives
  • Illicit Drugs*
  • Male
  • Middle Aged
  • Psychometrics
  • Risk Factors
  • Substance-Related Disorders / epidemiology*
  • Twins / statistics & numerical data
  • Virginia / epidemiology
  • White People / statistics & numerical data
  • Young Adult

Substances

  • Analgesics, Opioid
  • Central Nervous System Stimulants
  • Hallucinogens
  • Hypnotics and Sedatives
  • Illicit Drugs
  • Cocaine