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GSC Biological and Pharmaceutical Sciences
Article . 2025 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Botanic Cannabinoids and the Endocannabinoid System: A Mechanistic Model for Motion Sickness Intervention

Authors: Dawson, David A;

Botanic Cannabinoids and the Endocannabinoid System: A Mechanistic Model for Motion Sickness Intervention

Abstract

Motion sickness is a highly prevalent condition characterized by nausea, vomiting, and autonomic symptoms triggered by sensory conflict between the vestibular and visual systems. Current pharmacological treatments, including anticholinergics and antihistamines, often produce undesirable side effects such as sedation and dry mouth, and do not address the underlying neurophysiological dysregulation. The endocannabinoid system is a key neuromodulator of stress responses, emesis control, and homeostatic balance. Evidence from parabolic flight studies indicates that motion-susceptible individuals exhibit reduced circulating anandamide levels and downregulation of CB1 receptor expression, suggesting that hypoactivity of the endocannabinoid system contributes to symptom development. This theoretical paper proposes that targeted modulation of the ECS via botanic cannabinoids—such as Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD)—and selected terpenes may restore ECS tone, attenuate vestibular hyperactivation, normalize gastric rhythm, and reduce motion-induced nausea. We outline a mechanistic model for cannabinoid intervention, discuss key phytochemical candidates, and identify biomarker-driven endpoints for future clinical studies.

Keywords

Cannabinoid pharmacology, Motion sickness, Endocannabinoid system, Vestibular-autonomic integration, Nausea and emesis, Botanic cannabinoids

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold