High in the Cloud: Alcohol-, Cannabis-, and Co-Use Before and During Remote Research Participation

The use of crowdsourcing for addiction research has increased exponentially in recent years, but the extent to which the populations we expect results to generalize to might be engaging in substance use while participating in remote research has not been formally quantified. Understanding rates of day-of-study substance use on crowdsourcing platforms may be especially relevant given immediately recent use can alter cognitive and behavioral decision-making processes (e.g., attention, behavioral economic drug purchase tasks) that are often the focus of online substance use research.

The purpose of this study is to (1) characterize rates of substance use (i.e., alcohol, cannabis, or both) among 790 Prolific workers on the day of the study, within the past three hours, and since starting the study; (2) provide sample demographic descriptive statistics, typical substance use patterns, and their associations with day-of use; and (3) evaluate whether day-of use is associated with time taken to complete the study and performance on attention checks.

Day-of use was greater than 10%, primarily consisted of cannabis use, and several general use patterns were associated with day-of use (e.g., past year binge drinking was associated with day-of cannabis use). Day-of use was not associated with longer study completion times; attention check analyses were inconclusive.

Considering these results, we provide suggestions for best practices when crowdsourcing data for addiction research and advocate for future studies that use naturalistic experiments to complement laboratory drug- and alcohol-administration studies.