Literature DB >> 22566515

Extramedical use of prescription pain relievers by youth aged 12 to 21 years in the United States: national estimates by age and by year.

Elizabeth A Meier, Jonathan P Troost, James C Anthony.   

Abstract

OBJECTIVE To identify when youth are most likely to start using prescription pain relievers to get high or for other unapproved indications outside the boundaries of what a prescribing physician might intend (ie, extramedical use). DESIGN Cross-sectional surveys of adolescent cohorts, 2004 to 2008. SETTING The United States. PARTICIPANTS Large nationally representative samples of youth in the United States who had been assessed for the 2004 through 2008 National Survey on Drug Use and Health, yielding data from 138 729 participants aged 12 to 21 years. MAIN OUTCOME MEASURES Estimated age-specific risk of starting extramedical use of prescription pain relievers, year by year, and confirmation of age at peak risk by tracing the experience of individual cohorts during this period. RESULTS The estimated peak risk of starting extramedical use of prescription pain relievers occurs in midadolescence, well before the college years. The age at peak risk is 16 years, when an estimated 2% to 3% become newly incident users. Smaller risk estimates are observed at age 12 to 14 years and at age 19 to 21 years. CONCLUSIONS For initiatives to prevent youth from using prescription pain relievers to get high or for other unapproved indications, a focus on the last year of high school and the post-secondary school years may be too little too late. Practice-based approaches are needed in addition to public health interventions based on effective alcohol and tobacco prevention programs during the earlier adolescent years.

Entities:  

Year:  2012        PMID: 22566515      PMCID: PMC4346252          DOI: 10.1001/archpediatrics.2012.209

Source DB:  PubMed          Journal:  Arch Pediatr Adolesc Med        ISSN: 1072-4710


  18 in total

1.  Abuse and dependence on prescription opioids in adults: a mixture categorical and dimensional approach to diagnostic classification.

Authors:  L-T Wu; G E Woody; C Yang; J-J Pan; D G Blazer
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2.  A flood of opioids, a rising tide of deaths.

Authors:  Susan Okie
Journal:  N Engl J Med       Date:  2010-11-18       Impact factor: 91.245

Review 3.  Major increases in opioid analgesic abuse in the United States: concerns and strategies.

Authors:  Wilson M Compton; Nora D Volkow
Journal:  Drug Alcohol Depend       Date:  2005-07-14       Impact factor: 4.492

4.  Youth risk behavior surveillance - United States, 2009.

Authors:  Danice K Eaton; Laura Kann; Steve Kinchen; Shari Shanklin; James Ross; Joseph Hawkins; William A Harris; Richard Lowry; Tim McManus; David Chyen; Connie Lim; Lisa Whittle; Nancy D Brener; Howell Wechsler
Journal:  MMWR Surveill Summ       Date:  2010-06-04

5.  The social norms of birth cohorts and adolescent marijuana use in the United States, 1976-2007.

Authors:  Katherine M Keyes; John E Schulenberg; Patrick M O'Malley; Lloyd D Johnston; Jerald G Bachman; Guohua Li; Deborah Hasin
Journal:  Addiction       Date:  2011-07-27       Impact factor: 6.526

6.  Patterns of drug use from adolescence to young adulthood: I. Periods of risk for initiation, continued use, and discontinuation.

Authors:  D B Kandel; J A Logan
Journal:  Am J Public Health       Date:  1984-07       Impact factor: 9.308

7.  Motives for nonmedical use of prescription opioids among high school seniors in the United States: self-treatment and beyond.

Authors:  Sean Esteban McCabe; Carol J Boyd; James A Cranford; Christian J Teter
Journal:  Arch Pediatr Adolesc Med       Date:  2009-08

8.  Period, age, and cohort effects on substance use among young Americans: a decade of change, 1976-86.

Authors:  P M O'Malley; J G Bachman; L D Johnston
Journal:  Am J Public Health       Date:  1988-10       Impact factor: 9.308

Review 9.  Early-onset drug use and risk for drug dependence problems.

Authors:  Chuan-Yu Chen; Carla L Storr; James C Anthony
Journal:  Addict Behav       Date:  2008-11-01       Impact factor: 3.913

10.  Non-prescribed use of pain relievers among adolescents in the United States.

Authors:  Li-Tzy Wu; Daniel J Pilowsky; Ashwin A Patkar
Journal:  Drug Alcohol Depend       Date:  2007-12-03       Impact factor: 4.492

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  21 in total

1.  Non-medical use of prescription opioids during the transition to adulthood: a multi-cohort national longitudinal study.

Authors:  Sean Esteban McCabe; John E Schulenberg; Patrick M O'Malley; Megan E Patrick; Deborah D Kloska
Journal:  Addiction       Date:  2013-10-22       Impact factor: 6.526

2.  Peak ages of risk for starting nonmedical use of prescription stimulants.

Authors:  E A Austic; E A Austic Formerly E A Meier
Journal:  Drug Alcohol Depend       Date:  2015-04-09       Impact factor: 4.492

3.  Opioid Use Disorder and Prescribed Opioid Regimens: Evidence from Commercial and Medicaid Claims, 2005-2015.

Authors:  Mir M Ali; Eli Cutler; Ryan Mutter; Rachel Mosher Henke; Peggy L O'Brien; Jesse M Pines; Maryann Mazer-Amirshahi; Jared Diou-Cass
Journal:  J Med Toxicol       Date:  2019-05-31

4.  Age and Cohort Patterns of Medical and Nonmedical Use of Controlled Medication Among Adolescents.

Authors:  Elizabeth Austic; Sean Esteban McCabe; Sarah A Stoddard; Quyen Epstein Ngo; Carol Boyd
Journal:  J Addict Med       Date:  2015 Sep-Oct       Impact factor: 3.702

5.  Statewide opioid prescriptions and the prevalence of adolescent opioid misuse in Ohio.

Authors:  Erin R McKnight; Andrea E Bonny; Hannah L H Lange; David M Kline; Mahmoud Abdel-Rasoul; Joseph R Gay; Steven C Matson
Journal:  Am J Drug Alcohol Abuse       Date:  2016-09-19       Impact factor: 3.829

6.  Female-male differences in prescription pain reliever dependence levels: Evidence on newly incident adolescent and young adult users in the United States, 2002-2014.

Authors:  Hui G Cheng; Maria A Parker; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2019-08-30       Impact factor: 4.492

7.  Can we build an efficient response to the prescription drug abuse epidemic? Assessing the cost effectiveness of universal prevention in the PROSPER trial.

Authors:  D Max Crowley; Damon E Jones; Donna L Coffman; Mark T Greenberg
Journal:  Prev Med       Date:  2014-02-09       Impact factor: 4.018

8.  Toward primary prevention of extra-medical OxyContin® use among young people.

Authors:  David C Deandrea; John P Troost; James C Anthony
Journal:  Prev Med       Date:  2013-05-20       Impact factor: 4.018

9.  A Retrospective Chart Review of Contraceptive Use among Adolescents with Opioid Use Disorder.

Authors:  Caitlin J Handy; Hannah L H Lange; Brittny E Manos; Elise D Berlan; Andrea E Bonny
Journal:  J Pediatr Adolesc Gynecol       Date:  2017-11-21       Impact factor: 1.814

10.  Confidence interval estimation in R-DAS.

Authors:  Olga A Vsevolozhskaya; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2014-08-17       Impact factor: 4.492

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