Can LLMs Get High? A Dual-Metric Framework for Evaluating Psychedelic Simulation and Safety in Large Language Models
Research Square February 2, 2026 Ziv Ben-Zion, Guy Simon, Teddy Lazebnik
Abstract Large language models (LLMs) are increasingly consulted by individuals for support during psychedelic experiences ("trip sitting"), yet no framework exists to evaluate whether these models can accurately simulate or safely respond to altered states of consciousness. We aimed to determine if LLMs can be induced to generate narratives resembling human psychedelic experiences and to...