The global epidemiology and burden of psychostimulant dependence: findings from the Global Burden of Disease Study 2010

Drug Alcohol Depend. 2014 Apr 1:137:36-47. doi: 10.1016/j.drugalcdep.2013.12.025. Epub 2014 Jan 27.

Abstract

Aims: To estimate the global prevalence of cocaine and amphetamine dependence and the burden of disease attributable to these disorders.

Methods: An epidemiological model was developed using DisMod-MR, a Bayesian meta-regression tool, using epidemiological data (prevalence, incidence, remission and mortality) sourced from a multi-stage systematic review of data. Age, sex and region-specific prevalence was estimated for and multiplied by comorbidity-adjusted disability weightings to estimate years of life lost to disability (YLDs) from these disorders. Years of life lost (YLL) were estimated from cross-national vital registry data. Disability-adjusted life years (DALYs) were estimated by summing YLDs and YLLs in 21 regions, by sex and age, in 1990 and 2010.

Results: In 2010, there were an estimated 24.1 million psychostimulant dependent people: 6.9 million cocaine and 17.2 million amphetamines, equating to a point prevalence of 0.10% (0.09-0.11%) for cocaine, and 0.25% (0.22-0.28%) for amphetamines. There were 37.6 amphetamine dependence DALYs (21.3-59.3) per 100,000 population in 2010 and 15.9 per 100,000 (9.3-25.0) cocaine dependence DALYs. There were clear differences between amphetamines and cocaine in the geographic distribution of crude DALYs. Over half of amphetamine dependence DALYs were in Asian regions (52%), whereas almost half of cocaine dependence DALYs were in the Americas (44%, with 23% in North America High Income).

Conclusion: Dependence upon psychostimulants is a substantial contributor to global disease burden; the contribution of cocaine and amphetamines to this burden varies dramatically by geographic region. There is a need to scale up evidence-based interventions to reduce this burden.

Keywords: Amphetamines; Burden of disease; Cocaine; Epidemiology; Psychostimulants.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Bayes Theorem
  • Central Nervous System Stimulants / adverse effects*
  • Cost of Illness*
  • Female
  • Global Health / economics*
  • Humans
  • Male
  • Registries
  • Substance-Related Disorders / diagnosis
  • Substance-Related Disorders / economics*
  • Substance-Related Disorders / epidemiology*
  • Young Adult

Substances

  • Central Nervous System Stimulants