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Patton, Stacey – Chronicle of Higher Education, 2012
Walter Fortson never expected to finish college, especially as inmate 819161D at the Mountainview Youth Correctional Facility, in Hunterdon County, N.J. A few years ago, he chose to be a crack dealer to support his family and his reckless spending habits. He thought he was too smart to get caught, until one day in 2008 when he made a bad move. He…
Descriptors: Higher Education, Correctional Education, Housing, Males
Rosenberg, Harold; Bonar, Erin E.; Pavlick, Michelle; Jones, Lance D.; Hoffmann, Erica; Murray, Shanna; Faigin, Carol Ann; Cabral, Kyle; Baylen, Chelsea – Journal of College Student Development, 2012
We recruited 211 undergraduates to rate the degree to which each of 34 listed reasons for not taking drugs had influenced their abstinence from MDMA/ecstasy, cocaine, marijuana, and hallucinogens. Participants rated reasons such as personal and family medical histories, religion, and physiological consequences of drug use as having little or no…
Descriptors: Correlation, Undergraduate Students, Drug Use, Student Attitudes
Richardson, Gale A.; Larkby, Cynthia; Goldschmidt, Lidush; Day, Nancy L. – Journal of the American Academy of Child & Adolescent Psychiatry, 2013
Objective: To investigate the direct effects of prenatal cocaine exposure (PCE) on adolescent drug use, while controlling for other predictors of adolescent use. Method: Data are from a longitudinal study of PCE in which women and their offspring were assessed throughout childhood. Adolescents were interviewed at 15 years about their age at…
Descriptors: Violence, Child Abuse, Prenatal Influences, Drug Abuse
Martin, Gina; Macdonald, Scott; Ishiguro, Sonya – International Journal of Mental Health and Addiction, 2013
This study assessed the relative importance of problem gambling, cocaine use and selected psychosocial characteristics in predicting criminal convictions. A self-administered questionnaire was completed by clients when admitted to a treatment program for a primary problem with cocaine (n = 300), gambling (n = 199), or tobacco (n = 249). The…
Descriptors: Addictive Behavior, Smoking, Adolescents, Measures (Individuals)
Dewprashad, Brahmadeo – Journal of College Science Teaching, 2011
This column provides original articles on innovations in case study teaching, assessment of the method, as well as case studies with teaching notes. This month's case study focuses on the chemistry of cocaine to teach a number of core concepts in organic chemistry. It also requires that students read and analyze an original research paper on…
Descriptors: Cocaine, Organic Chemistry, Case Studies, Science Instruction
Woicik, Patricia A.; Urban, Catherine; Alia-Klein, Nelly; Henry, Ashley; Maloney, Thomas; Telang, Frank; Wang, Gene-Jack; Volkow, Nora D.; Goldstein, Rita Z. – Neuropsychologia, 2011
The ability to adapt behavior in a changing environment is necessary for humans to achieve their goals and can be measured in the lab with tests of rule-based switching. Disease models, such as cocaine addiction, have revealed that alterations in dopamine interfere with adaptive set switching, culminating in perseveration. We explore perseverative…
Descriptors: Cocaine, Addictive Behavior, Persistence, Drug Abuse
LaLumiere, Ryan T.; Niehoff, Kate E.; Kalivas, Peter W. – Learning & Memory, 2010
The infralimbic cortex (IL) regulates the consolidation of extinction learning for fear conditioning. Whether the IL influences the consolidation of extinction learning for cocaine self-administration is unknown. To address this issue, male Sprague-Dawley rats underwent 2 wk of cocaine self-administration followed by extinction training. On the…
Descriptors: Learning Processes, Neurological Organization, Cocaine, Drug Use
Luo, Xi; Zhang, Sheng; Hu, Sien; Bednarski, Sarah R.; Erdman, Emily; Farr, Olivia M.; Hong, Kwang-Ik; Sinha, Rajita; Mazure, Carolyn M.; Li, Chiang-shan R. – Brain, 2013
Deficits in cognitive control are implicated in cocaine dependence. Previously, combining functional magnetic resonance imaging and a stop signal task, we demonstrated altered cognitive control in cocaine-dependent individuals. However, the clinical implications of these cross-sectional findings and, in particular, whether the changes were…
Descriptors: Adolescents, Toxicology, Cocaine, Drug Addiction
Branson, Christopher E.; Clemmey, Philip; Harrell, Paul; Subramaniam, Geetha; Fishman, Marc – Journal of Child & Adolescent Substance Abuse, 2012
This study examined posttreatment patterns of polysubstance use and heroin relapse in a sample of 43 adolescents (ages 14-20) entering short-term residential treatment for primary heroin use. At 12-month follow-up, youths that achieved heroin abstinence (N = 19) were significantly less likely than youths that relapsed to heroin (N = 24) to endorse…
Descriptors: Narcotics, Marijuana, Cocaine, Adolescents
Torche, Florencia; Warren, John Robert; Halpern-Manners, Andrew; Valenzuela, Eduardo – Social Forces, 2012
Panel surveys are widely used in sociology to examine life-course trajectories and to assess causal effects. However, when using panel data researchers usually assume that the act of measuring respondents' attitudes and behaviors has no effect on the attributes being measured or on the accuracy of reports about those attributes. Evidence from…
Descriptors: Evidence, Control Groups, Research Design, Substance Abuse
Wells, Audrey M.; Lasseter, Heather C.; Xie, Xiaohu; Cowhey, Kate E.; Reittinger, Andrew M.; Fuchs, Rita A. – Learning & Memory, 2011
Contextual stimulus control over instrumental drug-seeking behavior relies on the reconsolidation of context-response-drug associative memories into long-term memory storage following retrieval-induced destabilization. According to previous studies, the basolateral amygdala (BLA) and dorsal hippocampus (DH) regulate cocaine-related memory…
Descriptors: Cocaine, Long Term Memory, Cognitive Processes, Animals
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E.; Miech, Richard A. – Institute for Social Research, 2014
This occasional paper presents subgroup findings from the Monitoring the Future (MTF) study on levels of and trends in the use of a number of substances for nationally representative samples of high school graduates ages 19-30. The data have been gathered in a series of follow-up surveys of representative subsamples of high school seniors who were…
Descriptors: Drug Abuse, Incidence, Behavior, Age Differences
Substance Abuse and Mental Health Services Administration, 2012
Many students, and the public in general, believe that drinking alcohol is a normal part of the college experience. Unfortunately, students' efforts to "be sociable" or "fit in" can escalate into substance use behavior that puts their health and well-being at risk: One in four full-time college students have experienced past year alcohol abuse or…
Descriptors: College Students, Alcohol Abuse, Drinking, Substance Abuse
Gabriele, Amanda; Setlow, Barry; Packard, Mark G. – Learning & Memory, 2009
Rats were trained to run a straight-alley maze for an oral cocaine or sucrose vehicle solution reward, followed by either response or latent extinction training procedures that engage neuroanatomically dissociable "habit" and "cognitive" memory systems, respectively. In the response extinction condition, rats performed a runway approach response…
Descriptors: Cocaine, Memory, Animals, Reinforcement
Trends in the Prevalence of Marijuana, Cocaine, and Other Illegal Drug Use. National YRBS: 1991-2011
Centers for Disease Control and Prevention, 2011
The national Youth Risk Behavior Survey (YRBS) monitors priority health risk behaviors that contribute to the leading causes of death, disability, and social problems among youth and adults in the United States. The national YRBS is conducted every two years during the spring semester and provides data representative of 9th through 12th grade…
Descriptors: Social Problems, Private Schools, Marijuana, Cocaine