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Journal Article

Citation

Jardine E, Lindner AM. Int. J. Drug Policy 2019; 76: e102627.

Affiliation

Skidmore College, United States.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.drugpo.2019.102627

PMID

31841772

Abstract

BACKGROUND: Cannabis is one of the most commonly sold drugs on cryptomarkets. Because of the anonymity-granting functions of Tor, no study has traced the within-country effect of the Dark Web on cannabis consumption patterns. This article uses a big data research design to examine the association between revealed interest in the Dark Web and self-reported cannabis use within US states from 2011 when Silk Road launched to 2015 when Operation Onymous shuttered nine markets.

METHODS: This study uses mixed effects ordinary least squared regressions to analyze U.S. state/year panel data, using robust standard errors to correct for heteroscedasticity. Marginal effect plots illustrate substantive effects. The dataset consists of state-level variables drawn from the Uniform Crime Report (UCR), the American Community Survey (ACS), the National Survey on Drug Use and Health, the Correlates of State Policy Project, and the Bureau of Justice Statistics Justice Expenditure and Employment Extracts. Data for the Dark Web interest measure are drawn from Google Trends. The proxy for Dark Web interest is an index of eight Dark Web related search queries.

RESULTS: The regression analysis indicates that Dark Web interest in US states positively correlates with cannabis consumption rates overall and among older adults (26+), but not youth (12-17) or younger adults (18-25). Additionally, Dark Web interest is positively associated with more frequent cannabis usage rates (i.e. use in the past month, excluding first time use) both overall and among older adults, but not among youth or younger adults. Dark Web interest does not correlate with casual use (i.e. use in the last year, excluding use in the past month) for any age bracket. Interacting Dark Web interest with state-level legalization regimes indicates that the association between Dark Web interest and cannabis consumption in the past year is no different in medically legalized states and amplified in states with recreational legalization. Lastly, the Dark Web interest term does not correlate with first time cannabis either overall or for any age category.

CONCLUSIONS: Interest in the Dark Web is associated with increased cannabis use in U.S. states from 2011-2015, but the effect is concentrated in states with more frequent cannabis users, older users, and in states with recreational legalization of cannabis.

Copyright © 2019 Elsevier B.V. All rights reserved.


Language: en

Keywords

Cannabis; Cannabis Legalization; Cryptomarkets; Dark web; Google Trends; Silk Road

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