Testing Warning Labels for Retail Cannabis Products Using a Discrete Choice Experiment
Developing and Testing Warning Labels for Retail Cannabis Products
University of Oklahoma
450 participants
May 19, 2026
INTERVENTIONAL
Conditions
Summary
This discrete choice experiment (DCE) study aims to address gaps in cannabis packaging regulatory research by testing how variations in cannabis packaging and health warning design impact reactions to packaging and intentions about cannabis use. The goal of this work is to identify the most effective combination of health warning features to improve consumer awareness of cannabis health risks. Establishing criteria for cannabis products in the US is critical because inconsistent state guidelines have resulted in contradictory policies in legal retail states, arguably leading to increased hazardous use and failure to meet public health standards. The contributions of this study's outcomes are expected to be significant because they will benefit public health as cannabis becomes available in legal retail markets and regulatory and governmental agencies seek effective ways to communicate cannabis risks to the public.
Eligibility
Plain Language Summary
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Interventions
A discrete choice experiment (DCE) consisting of 16 distinct choice sets. Each choice set presents combinations of the following attributes: 1) Cannabis package style: 1) "Standardized" plain package, 2) plain package with brand logo and fonts, 3) brand color background with brand logo and fonts, and 4) fully branded with brand imagery, brand logo, and brand descriptors and fonts. Branding type: 1) Adventure brand vs. 2) Earthy brand. Health warning size: 1) Small (20% of packaging surface) - health warnings use currently mandated warning language from multiple jurisdictions vs. 2) Large (40% of packaging surface) - health warnings use currently mandated warning language from multiple jurisdictions. Product THC content: 1) Low THC vs. 2) High THC. Product type: 1) Joints, 2) Vape, 3) Edibles, and 4) Drinks. Participants will rate all combinations of product attributes.
Locations(1)
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NCT07701304