Skip to main navigation Skip to search Skip to main content

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

  • Olga A. Vsevolozhskaya
  • , James C. Anthony

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Measured as elapsed time from first use to dependence syndrome onset, the estimated “induction interval” for cocaine is thought to be short relative to the cannabis interval, but little is known about risk of becoming dependent during first months after onset of use. Virtually all published estimates for this facet of drug dependence epidemiology are from life histories elicited years after first use. To improve estimation, we turn to new month-wise data from nationally representative samples of newly incident drug users identified via probability sampling and confidential computer-assisted self-interviews for the United States National Surveys on Drug Use and Health, 2004–2013. Standardized modules assessed first and most recent use, and dependence syndromes, for each drug subtype. A four-parameter Hill function depicts the drug dependence transition for subgroups defined by units of elapsed time from first to most recent use, with an expectation of greater cocaine dependence transitions for cocaine versus cannabis. This study's novel estimates for cocaine users one month after first use show 2–4% with cocaine dependence; 12–17% are dependent when use has persisted. Corresponding cannabis estimates are 0–1% after one month, but 10–23% when use persists. Duration or persistence of cannabis smoking beyond an initial interval of a few months of use seems to be a signal of noteworthy risk for, or co-occurrence of, rapid-onset cannabis dependence, not too distant from cocaine estimates, when we sort newly incident users into subgroups defined by elapsed time from first to most recent use.

Original languageEnglish
Article numbere1513
JournalInternational Journal of Methods in Psychiatric Research
Volume26
Issue number2
DOIs
StatePublished - Jun 2017

Bibliographical note

Publisher Copyright:
Copyright © 2016 John Wiley & Sons, Ltd.

Funding

FundersFunder number
Author National Institute on Drug Abuse DA031791 Mark J Ferris National Institute on Drug Abuse DA006634 Mark J Ferris National Institute on Alcohol Abuse and Alcoholism AA026117 Mark J Ferris National Institute on Alcohol Abuse and Alcoholism AA028162 Elizabeth G Pitts National Institute of General Medical Sciences GM102773 Elizabeth G Pitts Peter McManus Charitable Trust Mark J Ferris National Institute on Drug AbuseT32DA021129

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Hill function
    • cannabis dependence
    • cocaine dependence

    ASJC Scopus subject areas

    • Psychiatry and Mental health

    Fingerprint

    Dive into the research topics of 'Estimated probability of becoming a case of drug dependence in relation to duration of drug-taking experience: a functional analysis approach'. Together they form a unique fingerprint.

    Cite this