246
Views
2
CrossRef citations to date
0
Altmetric
Articles

Marijuana, cocaine, and ecstasy in this day and age: A quantitative investigation of the “aging out” process

&
Pages 400-406 | Received 30 Oct 2018, Accepted 30 Jan 2019, Published online: 22 Feb 2019
 

ABSTRACT

Objective: Building upon the normalization literature, the present study tests the relationship between age and the use of marijuana, cocaine, and ecstasy. The purpose of the research is to (1) evaluate whether age remains a strong predictor of illicit drug use and (2) to test the claims made by the normalization thesis about the extension of drug use into adulthood and the delay of the “aging out” phase of drugs.

Method: The data for the study was retrieved from the 2015 Canadian Tobacco, Alcohol and Drugs Survey (CTADS). The statistical method used in the study was logistic regression.

Findings: The findings of the study suggest that age remains a relevant predictor of marijuana, cocaine, and ecstasy use. While the findings suggested that 18–22 year olds have the highest likelihood of past-year recreational drug use, the models predicted that large proportions of Canadians in their twenties, thirties, forties, and even fifties have also used recreational drugs in the past year.

Conclusions: The findings provide support for the normalization thesis’ claims about the extension of illicit drug use into adulthood and the delaying of the “aging out’ phase. Future studies are warranted to better understand the “aging out” process for recreational drug use.

Notes

1. We use the term “marijuana” hereon out because it is the term used in the CTADS. While we recognize the stigma associated with the term “marijuana,” and we personally prefer to use the term “cannabis,” we have opted to use the term “marijuana” in this paper to be consistent with the terminology of the survey-set.

Log in via your institution

Log in to Taylor & Francis Online

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 683.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.