Literature DB >> 17257780

Misuse of methamphetamine and prescription stimulants among youths and young adults in the community.

Li-Tzy Wu1, Daniel J Pilowsky, William E Schlenger, Deborah M Galvin.   

Abstract

BACKGROUND: Gender differences in the prevalence and characteristics of misuse of methamphetamine (meth) and prescription stimulants were examined in a representative US sample of youths and young adults aged 16-25 (N=24,409).
METHODS: Stimulant misusers were categorized into three mutually exclusive subgroups: meth users only, meth and prescription stimulant users, and prescription stimulant users only (e.g., Benzedrine, Ritalin, or Dexedrine). Multinominal logistic regression analyses identified the characteristics associated with misuse of meth and prescription stimulants.
RESULTS: About 1 in 10 youths reported any misuse of stimulants in their lifetime. Prescription stimulant misuse occurred earlier and was more frequent than meth misuse. About 47% of meth misusers also reported prescription stimulant misuse. Among misusers of meth and prescription stimulants, males were more likely than females to misuse methylphenidate (82% versus 65%) but were less likely to misuse diet pills or amphetamines (37% versus 49%). Multinominal logistic regression analyses indicated that all subgroups of lifetime stimulant misuse were associated with past year substance abuse. The characteristics of meth misusers differed slightly from prescription stimulants misusers.
CONCLUSIONS: Multidrug use is common among stimulant misusers. Parents should be informed about the risk of prescription stimulant misuse by their youths.

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Year:  2007        PMID: 17257780      PMCID: PMC2063507          DOI: 10.1016/j.drugalcdep.2006.12.020

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  46 in total

1.  Student perceptions of methylphenidate abuse at a public liberal arts college.

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2.  The suspected association between methamphetamine ('ice') smoking and frequent episodes of alcohol intoxication: data from the 1993 National Household Survey on Drug Abuse.

Authors:  C D Furr; J Delva; J C Anthony
Journal:  Drug Alcohol Depend       Date:  2000-04-01       Impact factor: 4.492

Review 3.  Developmental sources of variation in liability to adolescent substance use disorders.

Authors:  M A Dawes; S M Antelman; M M Vanyukov; P Giancola; R E Tarter; E J Susman; A Mezzich; D B Clark
Journal:  Drug Alcohol Depend       Date:  2000-12-22       Impact factor: 4.492

4.  Use ecology and drug use motivations of methamphetamine users admitted to substance abuse treatment facilities in Los Angeles: an emerging profile.

Authors:  Mayrhauser Christina von; Mary-Lynn Brecht; M Douglas Anglin
Journal:  J Addict Dis       Date:  2002

5.  The relationship between employment and substance use among students aged 12 to 17.

Authors:  Li Tzy Wu; William E Schlenger; Deborah M Galvin
Journal:  J Adolesc Health       Date:  2003-01       Impact factor: 5.012

6.  Substance use pathways to methamphetamine use among treated users.

Authors:  Mary-Lynn Brecht; Lisa Greenwell; M Douglas Anglin
Journal:  Addict Behav       Date:  2006-05-03       Impact factor: 3.913

7.  Cocaine and methamphetamine: differential addiction rates.

Authors:  F Gonzalez Castro; E H Barrington; M A Walton; R A Rawson
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8.  National trends in the use of psychotropic medications by children.

Authors:  Mark Olfson; Steven C Marcus; Myrna M Weissman; Peter S Jensen
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2002-05       Impact factor: 8.829

9.  Stimulant treatment in Maryland public schools.

Authors:  D J Safer; M Malever
Journal:  Pediatrics       Date:  2000-09       Impact factor: 7.124

10.  Differences between methamphetamine users and cocaine users in treatment.

Authors:  A L Copeland; J L Sorensen
Journal:  Drug Alcohol Depend       Date:  2001-03-01       Impact factor: 4.492

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  21 in total

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3.  Distinctive characteristics of methamphetamine users presenting at public clinics: steep rise in South Carolina, United States, 2000-2005.

Authors:  Jeffrey E Korte; F Berry Hiott; Kathleen T Brady; Robert J Malcolm; Ronald E See
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4.  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

5.  Oral administration of (+/-)3,4-methylenedioxymethamphetamine and (+)methamphetamine alters temperature and activity in rhesus macaques.

Authors:  Rebecca D Crean; Sophia A Davis; Michael A Taffe
Journal:  Pharmacol Biochem Behav       Date:  2007-04-03       Impact factor: 3.533

6.  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

7.  Characterization of adolescent prescription drug abuse and misuse using the Researched Abuse Diversion and Addiction-related Surveillance (RADARS(®)) System.

Authors:  Amy Zosel; Becki Bucher Bartelson; Elise Bailey; Steven Lowenstein; Rick Dart
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2013-01-05       Impact factor: 8.829

8.  Characterization of methylphenidate self-administration and reinstatement in the rat.

Authors:  Leigh C P Botly; Christie L Burton; Zoë Rizos; Paul J Fletcher
Journal:  Psychopharmacology (Berl)       Date:  2008-05-16       Impact factor: 4.530

9.  Illicit and nonmedical drug use among Asian Americans, Native Hawaiians/Pacific Islanders, and mixed-race individuals.

Authors:  Li-Tzy Wu; Dan G Blazer; Marvin S Swartz; Bruce Burchett; Kathleen T Brady
Journal:  Drug Alcohol Depend       Date:  2013-07-23       Impact factor: 4.492

10.  The effects of varenicline on methamphetamine self-administration and drug-primed reinstatement in female rats.

Authors:  Steven T Pittenger; Scott T Barrett; Shinnyi Chou; Rick A Bevins
Journal:  Behav Brain Res       Date:  2015-11-27       Impact factor: 3.332

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