Literature DB >> 16919799

Risk and protective factors for nonmedical use of prescription stimulants and methamphetamine among adolescents.

Mindy A Herman-Stahl1, Christopher P Krebs, Larry A Kroutil, David C Heller.   

Abstract

PURPOSE: This article reports on correlates of past-year nonmedical use of prescription stimulants and methamphetamine among adolescents aged 12 to 17 years.
METHODS: Data from the 2002 National Survey of Drug Use and Health (NSDUH) were used to conduct logistic regression analyses of the demographic, psychosocial, and behavioral correlates of illicit stimulant use. The sample size was 17,709.
RESULTS: Analyses revealed that mental health treatment utilization and use of marijuana and other illegal drugs were correlated with nonmedical use of prescription stimulants and methamphetamine among adolescents. Females and adolescents who reported low religiosity, binge drinking, and selling drugs were more likely to use methamphetamine than were males or individuals who did not report these attitudes or behaviors. Additionally, black adolescents were less likely than white adolescents to use methamphetamine. Alternatively, adolescents who reported high family conflict and sensation-seeking were more likely than their counterparts to use prescription stimulants nonmedically, and Hispanic adolescents were less likely to use prescription stimulants nonmedically than white adolescents.
CONCLUSIONS: Risk for illicit use of stimulants varies by demographic, psychosocial, and behavioral factors. Different intervention mechanisms, populations, and settings should be targeted to prevent nonmedical use of prescription stimulants versus methamphetamine among adolescents.

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Year:  2006        PMID: 16919799     DOI: 10.1016/j.jadohealth.2006.01.006

Source DB:  PubMed          Journal:  J Adolesc Health        ISSN: 1054-139X            Impact factor:   5.012


  43 in total

1.  Nonmedical prescription stimulant use among college students: why we need to do something and what we need to do.

Authors:  Amelia M Arria; Robert L DuPont
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2.  Bayesian neural adjustment of inhibitory control predicts emergence of problem stimulant use.

Authors:  Katia M Harlé; Jennifer L Stewart; Shunan Zhang; Susan F Tapert; Angela J Yu; Martin P Paulus
Journal:  Brain       Date:  2015-09-03       Impact factor: 13.501

3.  Adsorption/desorption and bioavailability of methamphetamine in simulated gastrointestinal fluids under the presence of multiwalled carbon nanotubes.

Authors:  Jing Zhang; Zhenhu Xiong; Lei Wang; Kai Zhang
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4.  Trends in prescription drug abuse and dependence, co-occurrence with other substance use disorders, and treatment utilization: results from two national surveys.

Authors:  Sean Esteban McCabe; James A Cranford; Brady T West
Journal:  Addict Behav       Date:  2008-06-12       Impact factor: 3.913

5.  Sources of prescriptions for misuse by adolescents: differences in sex, ethnicity, and severity of misuse in a population-based study.

Authors:  Ty S Schepis; Suchitra Krishnan-Sarin
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2009-08       Impact factor: 8.829

Review 6.  Measurement of religiosity/spirituality in adolescent health outcomes research: trends and recommendations.

Authors:  Sian Cotton; Meghan E McGrady; Susan L Rosenthal
Journal:  J Relig Health       Date:  2010-12

7.  Evidence for subtle verbal fluency deficits in occasional stimulant users: quick to play loose with verbal rules.

Authors:  Martina Reske; Dean C Delis; Martin P Paulus
Journal:  J Psychiatr Res       Date:  2010-08-01       Impact factor: 4.791

8.  Correlates of nonmedical use of stimulants and methamphetamine use in a national sample.

Authors:  Lian-Yu Chen; Eric C Strain; Pierre Kébreau Alexandre; G Caleb Alexander; Ramin Mojtabai; Silvia S Martins
Journal:  Addict Behav       Date:  2014-02-12       Impact factor: 3.913

9.  Pre-Incarceration Rates of Nonmedical Use of Prescription Drugs among Black Men from Urban Counties.

Authors:  Paris Wheeler; Danelle Stevens-Watkins; Joi-Sheree' Knighton; Carlos Mahaffey; Dominiqueca Lewis
Journal:  J Urban Health       Date:  2018-08       Impact factor: 3.671

10.  Extra-medical stimulant dependence among recent initiates.

Authors:  Megan S O'Brien; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2009-06-09       Impact factor: 4.492

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