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Updated: Sep 19, 2025

Development of a Preclinical Inhalation Model to Test Vaporized Cannabis Distillates
Published on: May 30, 2025
Development of a Preclinical Inhalation Model to Test Vaporized Cannabis Distillates
Roham Gorgani1, Valerie Orsat2, David H Eidelman3
1Meakins-Christie Laboratories; Translational Research in Respiratory Diseases Program at the Research Institute of the McGill University Health Centre, McGill University; Department of Pathology, McGill University.
Abstract:
Despite their growing popularity, cannabis vape products remain understudied. Cannabis vape cartridges are used with battery-powered devices that aerosolize cannabis flower extracts containing high concentrations of cannabinoids such as THC. These types of products are commonly known as cannabis distillates. The potency of these products presents challenges in establishing effective dosing for preclinical studies. Currently, there are no established, standardized preclinical models for testing the safety and efficacy of these products in ways analogous to human use patterns. Thus, the in vivo cannabis distillate exposure regime required to achieve physiologically relevant doses in comparison to what is achieved in humans remains undetermined. To address this gap, a standardized preclinical murine model for inhalation of vaporized cannabis distillates has been developed using a computer-controlled delivery system. This protocol details procedures to administer cannabis vape distillates using a regimented puff topography to mice by a nose-only exposure tower. Methods to monitor mouse behavioral outcomes post-exposure and the utilization of a semi-quantitative ELISA to confirm THC delivery into the systemic circulation are also provided. This protocol will allow for the investigation of the pulmonary and systemic responses to cannabis vape distillate products by researchers interested in exploring the impact of cannabis vaping using real-world delivery protocols, thereby providing an opportunity for rigorous safety and therapeutic evaluation.

