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Ziv Ben-Zion

3 papers in the library · 11 citations · publishing 2023-2026

Papers

Effects of a dissociative drug on fronto-limbic resting-state functional connectivity in individuals with posttraumatic stress disorder: a randomized controlled pilot study.

Psychopharmacology (Berl) October 23, 2023 Sarah K. Danböck, Or Duek, Ziv Ben-Zion et al. 6 citations

A single dose of a dissociative drug altered resting-state functional connectivity between frontal and limbic brain regions in individuals with posttraumatic stress disorder, suggesting a potential mechanism for its therapeutic effects. The randomized controlled pilot study compared drug versus placebo in a small sample, finding changes in connectivity patterns that may relate to symptom reduction. The authors indicate that these preliminary results warrant further investigation in larger trials.

Psychedelics and collective trauma: multisystemic resilience and recovery pathways among Nova festival survivors - a qualitative study.

Eur J Psychotraumatol November 12, 2025 Guy Simon, Maya Gal-Birman, Nir Tadmor et al. 5 citations

This qualitative study explores how survivors of the Nova festival massacre experienced collective trauma and the potential role of psychedelics in their recovery. The research identifies multisystemic resilience and recovery pathways, suggesting that psychedelic experiences may facilitate emotional processing, meaning-making, and post-traumatic growth among survivors. The findings indicate that psychedelics can support healing from collective trauma by enhancing psychological health, resilience, and a sense of connection, though the study emphasizes the need for careful integration within therapeutic and community contexts.

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

Large language models can be prompted to generate narratives that closely mimic human accounts of psychedelic experiences, but they simulate the form without genuine phenomenology. A dual-metric evaluation compared 3,000 LLM-generated narratives from five models against 1,085 human trip reports. Psychedelic induction prompts increased semantic similarity to human reports from a mean of 0.156 to 0.548 and mystical-experience scores from 0.046 to 0.748. Models produced substance-specific linguistic styles but uniformly high mystical intensity across substances. This dissociation between linguistic mimicry and lack of experiential content raises safety concerns about anthropomorphism and the potential for AI to amplify distress or delusional ideation in vulnerable users.