Module 3: References and Image Credits
Azmitia, E.C. (2001). Impact of drugs and alcohol on the brain through the life cycle: Knowledge for social workers. Journal of Social Work Practice in the Addictions, 1(3), 41-63.
Bares, C.B., & Chartier, K.G. (in press). The role of genes and environments in shaping substance misuse. In A.L. Begun & M. Murray (Eds.), The handbook of social work and addictive behavior. London: Routledge.
Begun, A.L., & Brown, S. (2014). The neurobiology of substance use disorders and implications for treatment. In S.L.A. Straussner, (Ed.), Clinical work with substance-abusing clients, 3rdedition, (pp. 39-66). NY: Guilford.
Foroud, T., Edenberg, H., & Crabbe, J.C. (2010). Genetic research: Who is at risk for alcoholism? Alcohol Research & Health, 33(1&2), 64-75.
Giancola, P.R., & Tarter, R.E. (1999). Executive cognitive functioning and risk for substance abuse. Psychological Science, 10(3), 203-205.
Hancock, D.B.,Markunas, C.A., Bierut, L.J., & Johnson, E.O. (2018). Human genetics of addiction: New insights and future directions. Current Psychiatry Reports, 20(2), 1-17.
Hartman, A. (1995). Diagramatic assessment of family relationships.Families in Society, 76(2), 111-122.
Himmelreich, M., Lutke, C.J., & Hargrove, E.T. (in press). The lay of the land: Fetal alcohol spectrum disorder (FASD) as a whole-body diagnosis. In A.L. Begun & M. Murray, (Eds.), Handbook of social work and addictive behavior.London: Routledge.
Kendler, K.S., Heath, A.C., Neale, M.C., Kessler, R.C., & Eaves, L.J. (1992). A population-based twin study of alcoholism in women. Journal of the American Medical Association, 268, 1877-1882.
Jang, K.L., Livesly, W.J., & Vernon, P.A. (1997). Gender-specific etiological differences in alcohol and drug problems: A behavioural genetic analysis. Addiction, 92(10), 1265-1276.
Jones, K.L., & Smith, D.W. (1973). Recognition of the fetal alcohol syndrome in early infancy. Lancet, 2(7836), 999-1001.
Li, C.Y., Zhou, W.Z., Zhang, P.W., Johnson, C., Wei, L., & Uhl, G.R. (2011). Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction. BMC Genomics, 12, 508-519.
Logrip, M.L., Zorilla, E.P., & Koob, G. F. (2012). Stress modulation of drug self-administration: Implications for addiction comorbidity with post-traumatic stress disorder. Neuropharmacology, 62, 552-564.
Loock, C., Elliott, E., & Cox, L. (in press). Fetal alcohol spectrum disorder: Evidence, theory, and current insights. In A.L. Begun & M. Murray, (Eds.), The handbook of social work and addictive behavior.London: Routledge.
Meredith, L.R., & Squeglia, L.M. (in press). The adolescent brain: Predictors and consequences of substance use. In A.L. Begun & M. Murray, (Eds.), The handbook of social work and addictive behavior.London: Routledge.
Moeller, K.E., Kissack, J.C., Atayee, R.S., & Lee, K.C. (2017). Clinical interpretation of urine drug tests: What clinicians need to know about urine drug screens. Mayo Clinic Proceedings, 92(5), 774-796.
National Institute on Alcohol Abuse and Alcoholism (NIAAA). (1998). Age of drinking onset predicts future alcohol abuse and dependence. News Release (January 14). Retrieved from https://www.niaaa.nih.gov/news-events/news-releases/age-drinking-onset-predicts-future-alcohol-abuse-and-dependence.
National Institute on Drug Abuse (NIDA). (2014). Drugs, brains, and behavior: The science of addiction(NIH Publication No. 14-5605).
National Institute on Drug Abuse (NIDA). (2018). Drugs, brains, and behavior: The science of addiction(NIH Publication No. 18-DA-5605). Retrieved from: https://d14rmgtrwzf5a.cloudfront.net/sites/default/files/soa.pdf
Palmer, R.H.C., Button, T.M., Rhee, S.H., Corley, R.P. Young, S.E., Stallings, M.C.,…Hewitt, J.K. (2012). Genetic etiology of the common liability to drug dependence: Evidence of common and specific mechanisms for DSM-IV dependence symptoms. Drug and Alcohol Dependence, 123(Suppl.), S24-S32.
Reber, K.M., Schlegel, A.B., Braswell, E.F., & Shepherd, E.G. (in press). Neonatal abstinence syndrome: Recognition, management, and prevention knowledge for social workers. In A.L. Begun & M. Murray (Eds.), Handbook of social work and addictive behavior.London: Routledge.
Robins, L.N., & Przybeck, T.R. (1975). Age of onset of drug use as a factor in drug and other disorders. In C.L. Jones & R.J. Battjes, (Eds.), Etiology of drug abuse: Implications for prevention.National Institute on Drug Abuse (NIDA) Research Monograph Series, No. 56, (p. 178-192). Washington, DC: U.S. Department of Health and Human Services, Public Health Service, Alcohol, Drug Abuse, and Mental Health Administration.
Russell, M.A. (1990). Prevalence of alcoholism among children of alcoholics. In M. Windle & J.S. Searles (Eds.), Children of alcoholics: Critical perspectives,(p. 9-38), NY: Guilford Press.
Siegel, D.J. (2014). Pruning, myelination, and the remodeling adolescent brain. Psychology Today. Retrieved from https://www.psychologytoday.com/us/blog/inspire-rewire/201402/pruning-myelination-and-the-remodeling-adolescent-brain.
Squeglia, L.M., Jacobus, J., & Tapert, S.F. (2009). The influence of substance use on adolescent brain development. Clinical EEG and Neuroscience, 40(1), 31-38.
Streissguth, A.P., & O’Malley, K. (2000). Neuropsychiatric implications and long-term consequences of fetal alcohol spectrum disorders. Seminars in Clinical Neuropsychiatry,5(3), 177-90.
Volkow, N.D., Wang, G.J., Fowler, J.S., Tomasi, D., Telang, F., & Baler, R. (2010). Addiction: Decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain’s control circuit. BioEssays: News and Reviews in Molecular, Cellular and Developmental Biology, 32(9), 748-755. doi:10.1002/bies.201000042
Unless otherwise noted, the author created tables and figures appearing in this book; images come from creative commons public domain (Pixabay.com) and 123rf contract.
Neurons: Image modified by the author from copyright: