Literature DB >> 24629632

Should anyone be riding to glory on the now-descending limb of the crack-cocaine epidemic curve in the United States?

Maria A Parker1, James C Anthony2.   

Abstract

BACKGROUND: Many pre-clinical and clinical researchers do not appreciate the recent decline in United States (US) population-level incidence of crack-cocaine smoking. At present, no more than about 200 young people start using crack-cocaine each day. Ten years ago, the corresponding estimated daily rate was 1000. This short communication looks into these trends, surrounding evidence on this important public health topic, and checks whether duration-reducing treatment interventions might be responsible, versus selected alternatives.
METHODS: Via analyses of standardized computer-assisted self-interview data from the US National Surveys on Drug Use and Health (NSDUH, 2002-2011; n>500,000), we evaluated change in incidence estimates, perceived difficulty to acquire crack, risk of using cocaine, treatment entries, and persistence once crack use has started.
RESULTS: We draw attention to a marked overall decline in year-specific incidence rates for crack-cocaine smoking from 2002 to 2011, especially 2007-2011. There is some variation in estimates of difficulty to acquire crack (p<0.001) and observed risk of using cocaine among 'at risk' susceptibles (p<0.001), but no appreciable shifts in duration of crack smoking among active users (p>0.05) or in proportion of crack users receiving treatment (p>0.05).
CONCLUSIONS: Changing epidemiology of crack-cocaine smoking may rest largely on reductions in newly incident use with no major direct effects due to US cocaine treatment, incarceration, or interdiction. Concurrently, we see quite modest declines in survey-based estimates of cocaine-attributed perceived risk and cocaine availability. As such, we posit that no specific US agency should claim it is 'riding to glory' on the descending limb of this epidemic curve.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cocaine; Crack-cocaine; Epidemic; Epidemiology; Incidence

Mesh:

Substances:

Year:  2014        PMID: 24629632      PMCID: PMC4327819          DOI: 10.1016/j.drugalcdep.2014.02.005

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


  7 in total

1.  Cohort changes in illegal drug use among arrestees in Manhattan: from the Heroin Injection Generation to the Blunts Generation.

Authors:  A L Golub; B D Johnson
Journal:  Subst Use Misuse       Date:  1999-11       Impact factor: 2.164

2.  Risk estimates for starting tobacco, alcohol, and other drug use in the United States: male-female differences and the possibility that 'limiting time with friends' is protective.

Authors:  Ryan B Seedall; James C Anthony
Journal:  Drug Alcohol Depend       Date:  2013-08-13       Impact factor: 4.492

3.  Lessons of the first cocaine epidemic.

Authors:  D F Musto
Journal:  Nebr Med J       Date:  1987-01

4.  A dynamic model of drug initiation: implications for treatment and drug control.

Authors:  D A Behrens; J P Caulkins; G Tragler; J L Haunschmied; G Feichtinger
Journal:  Math Biosci       Date:  1999-06       Impact factor: 2.144

5.  Crack cocaine and cocaine hydrochloride. Are the differences myth or reality?

Authors:  D K Hatsukami; M W Fischman
Journal:  JAMA       Date:  1996-11-20       Impact factor: 56.272

6.  Epidemiological estimates of risk in the process of becoming dependent upon cocaine: cocaine hydrochloride powder versus crack cocaine.

Authors:  Chuan-Yu Chen; James C Anthony
Journal:  Psychopharmacology (Berl)       Date:  2003-11-04       Impact factor: 4.530

7.  Probing the meaning of racial/ethnic group comparisons in crack cocaine smoking.

Authors:  M Lillie-Blanton; J C Anthony; C R Schuster
Journal:  JAMA       Date:  1993-02-24       Impact factor: 56.272

  7 in total
  10 in total

1.  Estimated probability of becoming a case of drug dependence in relation to duration of drug-taking experience: a functional analysis approach.

Authors:  Olga A Vsevolozhskaya; James C Anthony
Journal:  Int J Methods Psychiatr Res       Date:  2016-06-29       Impact factor: 4.035

2.  Rural tobacco use across the United States: How rural and urban areas differ, broken down by census regions and divisions.

Authors:  Megan E Roberts; Nathan J Doogan; Allison N Kurti; Ryan Redner; Diann E Gaalema; Cassandra A Stanton; Thomas J White; Stephen T Higgins
Journal:  Health Place       Date:  2016-04-22       Impact factor: 4.078

Review 3.  Risk and resistance perspectives in translation-oriented etiology research.

Authors:  Michael M Vanyukov; Ralph E Tarter; Kevin P Conway; Galina P Kirillova; Redonna K Chandler; Dennis C Daley
Journal:  Transl Behav Med       Date:  2016-03       Impact factor: 3.046

4.  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

5.  A nationally representative analysis of "twin epidemics": Rising rates of methamphetamine use among persons who use opioids.

Authors:  Justin C Strickland; Jennifer R Havens; William W Stoops
Journal:  Drug Alcohol Depend       Date:  2019-09-27       Impact factor: 4.492

6.  Estimated effect of US state syringe sale policy on source of last-used injection equipment.

Authors:  Patrick Janulis; Barrett W Montgomery; James C Anthony
Journal:  Int J Drug Policy       Date:  2019-12-13

7.  Epidemiological evidence on extra-medical use of prescription pain relievers: transitions from newly incident use to dependence among 12-21 year olds in the United States using meta-analysis, 2002-13.

Authors:  Maria A Parker; James C Anthony
Journal:  PeerJ       Date:  2015-10-20       Impact factor: 2.984

8.  Public opinions about supervised smoking facilities for crack cocaine and other stimulants.

Authors:  Carol Strike; Nooshin Khobzi Rotondi; Tara Marie Watson; Gillian Kolla; Ahmed M Bayoumi
Journal:  Subst Abuse Treat Prev Policy       Date:  2016-02-09

9.  Higher prevalence of detectable troponin I among cocaine-users without known cardiovascular disease.

Authors:  Elise D Riley; Priscilla Y Hsue; Eric Vittinghoff; Alan H B Wu; Phillip O Coffin; Peter K Moore; Kara L Lynch
Journal:  Drug Alcohol Depend       Date:  2017-01-19       Impact factor: 4.492

10.  Impact of polysubstance use on high-sensitivity cardiac troponin I over time in homeless and unstably housed women.

Authors:  Elise D Riley; Eric Vittinghoff; Alan H B Wu; Phillip O Coffin; Priscilla Y Hsue; Dhruv S Kazi; Amanda Wade; Carl Braun; Kara L Lynch
Journal:  Drug Alcohol Depend       Date:  2020-08-30       Impact factor: 4.492

  10 in total

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