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Content analysis uncovers emerging public health concerns from online delta-8 THC discussions, highlighting the utility of transformer-based modeling for rapid substance surveillance.
Our study provides insights into emerging public health concerns around delta-8 THC, a novel substance about which little is known. Furthermore, we demonstrate the use of transformer-based unsupervised learning approaches to derive intelligible topics from highly unstructured discussions of delta-8 THC, which may help improve the timeliness of identification of emerging health concerns related to new substances.
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Smith et al. (2023) studied this question.
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