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Cocaine use, abuse and dependence in a population-based sample of female twins

Published online by Cambridge University Press:  03 January 2018

Kenneth S. Kendler  and
Carol A. Prescott
Kenneth S. Kendler*
Affiliation:
Departments of Psychiatry and Human Genetics and Virginia Institute for Psychiatric and Behavioral Genetics, Medical College of Virginia, Virginia Commonwealth University, Box 980126, Richmond, VA 23298-0126
Carol A. Prescott
Affiliation:
Department of Psychiatry and Virginia Institute for Psychiatric and Behavioral Genetics, Box 980126, Richmond, VA 23298-0126, USA
*
Dr Kendler, Box 980126, Richmond, VA 23298-0126, USA
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Abstract

Background

Although cocaine use in women has increased substantially over the past half-century, we understand little about the aetiology in women of cocaine use and abuse, and know almost nothing about the role of genetic factors.

Method

We obtained by telephone interview a history of lifetime cocaine use, abuse and dependence from 1934 individual twins from female–female pairs ascertained through a population-based registry, including both members of 485 monozygotic (MZ) and 335 dizygotic (DZ) pairs.

Results

The prevalence of lifetime cocaine use, abuse and dependence were 14.0%, 3.3% and 2.3%. Probandwise concordance rates, in MZ and DZ twins, respectively, were: cocaine use 54% and 42%; cocaine abuse 47% and 8% and cocaine dependence 35% and 0%. In MZ and DZ twins, odds ratios were: cocaine use 14.2 and 6.7 and cocaine abuse 40.8 and 2.7. Biometrical model-fitting suggested that twin resemblance for liability to cocaine use was due to both genetic and familial–environmental factors while twin resemblance for cocaine abuse and symptoms of dependence was due solely to genetic factors. Estimated heritabilities were: cocaine use 0.39, cocaine abuse 0.79 and symptoms of dependence 0.65.

Conclusions

The vulnerability to cocaine use and particularly cocaine abuse and dependence in women is substantially influenced by genetic factors.

Type
Papers
Information
The British Journal of Psychiatry , Volume 173 , Issue 4 , October 1998 , pp. 345 - 350
Copyright
Copyright © 1998 The Royal College of Psychiatrists 

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References

Adair, E. B. G., Craddock, S. G., Miller, H. G., et al (1995) Assessing consistency of responses to questions on cocaine use. Addiction, 90, 1497–1502.Google Scholar
Akaike, H. (1987) Factor analysis and AIC. Psychometrika, 52, 317–332.Google Scholar
Allgulander, C. (1989) Psychoactive drug use in a general population sample. Sweden: correlates with perceived health, psychiatric diagnoses, and mortality in an automated record-linkage study. American Journal of Public Health, 79, 1006–1010.CrossRefGoogle Scholar
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders (3rd edn. revised) (DSM-III-R). Washington. DC: APA.Google Scholar
American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders (4th edn) (DSM-IV). Washington. DC: APA.Google Scholar
Anthony, J. C., Warner, L. A. & Kessler, R. C. (1994) Comparative epidemiology of dependence on tobacco, alcohol, controlled substances, and inhalants: basic findings from the National Comorbidity Survey. Experimental and Clinical Psychopharmacology, 2, 244–268.CrossRefGoogle Scholar
Boomsma, D., Koopmans, J. R., Van Doornen, L. J. P., et al (1994) Genetic and social influences on starting to smoke: a study of Dutch adolescent twins and their parents. Addiction, 89, 219–226.CrossRefGoogle Scholar
Breslow, N. E. & Day, N. E. (1980) Statistical Methods in Cancer Research, Volume I. Lyon: International Agency for Research on Cancer.Google Scholar
Brook, J. S., Whiteman, M., Cohen, P., et al (1995) Longitudinally predicting late adolescent and young adult drug use: childhood and adolescent precursors. Journal of the American Academy of Child and Adolescent Psychiatry, 34, 1230–1238.Google Scholar
Cadoret, R. J., Troughton, E., O'Gorman, T. W., et al (1986) An adoption study of genetic and environmental factors in drug abuse. Archives of General Psychiatry, 43, 1131–1136.CrossRefGoogle ScholarPubMed
Cadoret, R. J., Yates, W. R., Troughton, E., et al (1996) An adoption study of drug abuse/dependency in females. Comprehensive Psychiatry, 37, 88–94.Google Scholar
Cairns, R. B. & Cairns, B. D. (1994) Lifelines and Risks: Pathways of Youth in our Time. Cambridge, New York, Melbourne: Cambridge University Press.Google Scholar
Center on Addiction and Substance Abuse at Columbia University (1996) Substance Abuse and the American Woman. New York: CASA.Google Scholar
Cohen, J. (1960) A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37–46.Google Scholar
Dominiere, J. M., Piazza, P. V., LeMoal, M., et al (1989) Experimental approach to individual vulnerability to psychostimulant addiction. Neuroscience & Biobehavioral Reviews, 13, 141–147.Google Scholar
Eaves, L. J., Eysenck, H. J., Martin, N. G., et al (1989) Genes, Culture and Personality: An Empirical Approach. London: Oxford University Press.Google Scholar
Falconer, D. S. (1965) The inheritance of liability to certain diseases, estimated from the incidence among relatives. Annals of Human Genetics, 29, 51–76.Google Scholar
George, F. R., Porrino, L. J., Ritz, M. C., et al (1991) Inbred rat strain comparisons indicate different sites of action for cocaine and amphetamine locomotor stimulant effects, Psychopharmacology, 104, 457–462.Google Scholar
Giros, B., Jaber, M., Jones, S. R., et al (1996) Hyperlocomotion and indifference to cocaine and amphetamine in mice lacking the dopamine transporter. Nature, 379, 606–612.Google Scholar
Heath, A. C., Cates, R., Martin, N. G., et al (1993) Genetic contribution to risk of smoking initiation: comparisons across both cohorts and across cultures. Journal of Substance Abuse, 5, 221–246.Google Scholar
Indardi, J. A., Lockwood, D. & Pottieger, A. E. (1993) Women and Crack-Cocaine. New York: Macmillan.Google Scholar
Jardine, R. & Martin, N. G. (1984) Causes of variation in drinking habits in a large twin sample. Acta Genetica Medica et Gemellologia, 33, 435–450.Google Scholar
Kandall, S. R. & Chavkin, W. (1992) Illicit drugs in America: history, impact on women and infants, and treatment strategies for women. Hastings Law Journal, 43, 615–643.Google Scholar
Kendler, K. S. (1993) Twin studies of psychiatric illness: current status and future directions. Archives of General Psychiatry, 50, 905–915.Google Scholar
Kendler, K. S. & Kidd, K. K. (1986) Recurrence risks in an oligogenic threshold model: the effect of alterations in allele frequency. Annals of Human Genetics, 50, 83–91.CrossRefGoogle Scholar
Kendler, K. S., Heath, A. C., Neale, M. C., et al (1992a) A population-based twin study of alcoholism in women. Journal of the American Medical Association, 268, 1877–1882.CrossRefGoogle ScholarPubMed
Kendler, K. S., Neale, M. C., Kessler, R. C., et al (1992b) A population-based twin study of major depression in women: the impact of varying definitions of illness. Archives of General Psychiatry, 49, 257–266.Google Scholar
Kendler, K. S., Neale, M. C., Mac Lean, C. J., et al (1993) Smoking and major depression: a causal analysis. Archives of General Psychiatry, 50, 36–43.Google Scholar
Kendler, K. S., Little, R.J. A. & Groves, R. M. (1995) Advances in strategies for minimizing and adjusting for survey nonresponse. Epidemiologic Reviews, 17, 192–204.Google Scholar
Kendler, K. S., & Prescott, C. A. (1998) Cannabis use, abuse and dependence in a population-based sample of female twins. American Journal of Psychiatry, 155, 1016–1022.Google Scholar
King, R. J. Jr. & Flowers, C. (1996) Neurochemical predictors and correlates of vulnerability to cocaine use. In Individual Differences in the Biobehavioral Etiology of Drug Abuse. NIDA Research Monograph 159. (eds Gordon, H. W. & Glantz, M. D.). Washington, DC: US Department of Health and Human Services, National Institutes of Health.Google Scholar
Loeber, R. (1988) Natural histories of conduct problems, delinquency, and associated substance use: evidence for developmental progressions. In Advances in Clinical Child Psychology, Volume 11 (eds Lahey, B. & Kazdin, A.), pp. 73–124. New York: Plenum Press.Google Scholar
Martin, C. S., Earieywine, M., Blackson, T. C., et al (1994) Aggressivity. inattention, hyperactivity, and impulsivity in boys at high and low risk for substance abuse. Journal of Abnormal Child Psychology, 22, 177–203.CrossRefGoogle ScholarPubMed
Meller, W. H., Rinehart, R., Cadoret, R. J., et al (1988) Specific familial transmission in substance abuse. International Journal of the Addictions, 23, 1029–1039.Google Scholar
Miner, L. L. & Marley, R. J. (1995) Chromosomal mapping of the psychomotor stimulant effects of cocaine in BXD recombinant inbred mice. Psychopharmacology, 122, 209–214.CrossRefGoogle ScholarPubMed
Mirin, S. M., Weiss, R. D., Griffin, M. L., et al (1991) Psychopathology in drug abusers and their families. Comprehensive Psychiatry, 32, 36–51.Google Scholar
Neale, M. C. (1994) Mx: Statistical Modeling (2nd edn). Richmond, VA: Department of Psychiatry.Google Scholar
Neale, M. C. & Cardon, L. R. (1992) Methodology for Genetic Studies of Twins and Families. Dordrecht, The Netherlands: Kluwer Academic Publishers.Google Scholar
Neale, M. C., Eaves, L. J. & Kendler, K. S. (1994) The power of the classical twin study to resolve variation in threshold traits, behavior Genetics, 24, 239–258.Google Scholar
Pearson, K. (1901) Mathematical contributions to the theory of evolution. VIII. On the correlation of characters not quantitatively measurable. Proceedings of the Royal Society, 66, 241–244.Google Scholar
Reich, T., James, J. W. & Morris, C. A. (1972) The use of multiple thresholds in determining the mode of transmission of semi-continuous traits. Annals of Human Genetics, 36, 163–184.Google Scholar
SAS Institute (1990) SAS Language: Reference, Version 6. Cary. NC: SAS.Google Scholar
Schechter, M. D. (1992) Rats bred for differences in preference to cocaine: other behavioral measurements. Pharmacology, biochemistry and behavior, 43, 1015–1021.Google Scholar
Schuster, L., Yu, G. & Bates, A. (1977) Sensitization to cocaine stimulation in mice. Psychopharmacology, 52, 185–190.CrossRefGoogle Scholar
Shillington, A. M., Cottier, L. B., Mager, D. E., et al (1995) Self-report stability for substance use over 10 years: data from the St Louis Epidemiologic Catchment Study. Drug and Alcohol Dependence, 40, 103–109.Google Scholar
Smart, R. G. (1991) Crack cocaine use: a review of prevalence and adverse effects. American Journal of Drug and Alcohol Abuse, 17, 13–26.CrossRefGoogle ScholarPubMed
Smith, S. S., O'Hare, B. F., Persico, A. M., et al (1992) Genetic vulnerability to drug abuse: the D2 dopamine receptor taq I Bl restriction fragment length polymorphism appears more frequently in polysubstance abusers. Archives of General Psychiatry, 49, 723–727.CrossRefGoogle Scholar
Spence, J. E., Corey, L. A., Nance, W. E., et al (1988) Molecular analysis of twin zygosity using VNTR DNA probes. American Journal of Human Genetics, 43, A159.Google Scholar
Spitzer, R. L., Williams, J. B. & Gibbon, J. (1987) Structured Clinical Interview for DSM – III-R – Patient Version (SCID-P). New York: New York State Psychiatric Institute.Google Scholar
Substance Abuse and Mental Health Services Administration. (1996a) National Household Survey on Drug Abuse: Population Estimates 1995. Washington, DC: Department of Health and Human Services.Google Scholar
Substance Abuse and Mental Health Services Administration. (1996b) Trends in the Incidence of Drug Use in the United States, 1919–1992. Washington, DC: US Department of Health and Human Services.Google Scholar
Tsuang, M. T., Lyons, M. J., Eisen, S. A., et al (1996) Genetic influences on abuse of illicit drugs: a study of 3297 twin pairs. American Journal of Medical Genetics, 67, 473–477.Google Scholar
United States Substance Abuse and Mental Health Services Administration (1993) National Household Survey on Drug Abuse: Main Findings. 1993. DHHS Publication No. (SMA) 95–3020. Washington. DC: US Government Printing Office.Google Scholar
Warner, L. A., Kessler, R. C., Hughes, M., et al (1995) Prevalence and correlates of drug use and dependence in the United States: results from the National Comorbidity Survey. Archives of General Psychiatry, 52, 219–229.Google Scholar
Webster, R. A., Hunter, M.L. & Keats, J. A. (1994) Peer and parental influences on adolescents' substance use: a path analysis. International Journal of the Addictions, 29, 647–657 Google Scholar
Williams, L.J. & Holahan, P. J. (1994) Parsimony-based fit indices for multiple-indicator models: do they work? Structural Equation Modeling, 1, 161–189.Google Scholar
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