Cocaine addiction and personality: a mathematical model

Br J Math Stat Psychol. 2010 May;63(Pt 2):449-80. doi: 10.1348/000711009X470768. Epub 2009 Dec 23.

Abstract

The existence of a close relation between personality and drug consumption is recognized, but the corresponding causal connection is not well known. Neither is it well known whether personality exercises an influence predominantly at the beginning and development of addiction, nor whether drug consumption produces changes in personality. This paper presents a dynamic mathematical model of personality and addiction based on the unique personality trait theory (UPTT) and the general modelling methodology. This model attempts to integrate personality, the acute effect of drugs, and addiction. The UPTT states the existence of a unique trait of personality called extraversion, understood as a dimension that ranges from impulsive behaviour and sensation-seeking (extravert pole) to fearful and anxious behaviour (introvert pole). As a consequence of drug consumption, the model provides the main patterns of extraversion dynamics through a system of five coupled differential equations. It combines genetic extraversion, as a steady state, and dynamic extraversion in a unique variable measured on the hedonic scale. The dynamics of this variable describes the effects of stimulant drugs on a short-term time scale (typical of the acute effect); while its mean time value describes the effects of stimulant drugs on a long-term time scale (typical of the addiction effect). This understanding may help to develop programmes of prevention and intervention in drug misuse.

MeSH terms

  • Affect / drug effects
  • Brain / drug effects
  • Cocaine / pharmacology
  • Cocaine-Related Disorders / psychology*
  • Dose-Response Relationship, Drug
  • Exploratory Behavior*
  • Extraversion, Psychological*
  • Humans
  • Impulsive Behavior / psychology*
  • Introversion, Psychological*
  • Models, Psychological
  • Models, Theoretical*
  • Psychometrics / statistics & numerical data
  • Reproducibility of Results

Substances

  • Cocaine