Frontiers in Neuroscience
January 22, 2018
Camila Sanz, Federico Zamberlán, Earth Erowid et al.
112 citations
Subjective reports of experiences under hallucinogens like LSD are semantically most similar to reports of high-lucidity dreams, while Datura (a deliriant) resembles low-lucidity dreams. Sedatives, stimulants, antipsychotics, and antidepressants rank lowest in similarity to dream reports. Frequent words across both dreams and hallucinogen experiences include perception-related terms ("see," "visual," "color"), emotion ("fear"), setting ("inside," "outside"), and family members ("mom," "dad"). The analysis confirms that hallucinogens produce experiences with the highest semantic similarity to dreams among all psychoactive substances.
Consciousness and cognition
March 1, 2019
Charlotte Martial, Héléna Cassol, Vanessa Charland-Verville et al.
98 citations
Near-death experiences (NDEs) share consistent features across cultures, suggesting a common neurobiological basis. Analyzing semantic similarity between about 15,000 reports from 165 psychoactive substances and 625 NDE narratives, the NMDA receptor antagonist ketamine produced reports most similar to NDEs, followed by Salvia divinorum and serotonergic psychedelics like DMT. The similarity was driven by concepts of self and environmental consciousness, as well as therapeutic, ceremonial, and religious aspects of drug use. Ketamine may serve as a safe experimental model for NDE phenomenology, and endogenous NMDA antagonists might be released near death.
Frontiers in Integrative Neuroscience
November 1, 2018
Camila Sanz, Carla Pallavicini, Carla Pallavicini et al.
78 citations
Classic psychedelics produce a wide range of subjective effects influenced by the user's mindset and environment, and their common mechanism involves activation of the serotonin 5-HT2A receptor. The diversity of effects across different compounds may also stem from their binding affinities for multiple neurotransmitter receptors and transporters. By analyzing two binding affinity datasets alongside natural language processing of thousands of trip reports from Erowid's Experience Vaults, preliminary evidence showed that similarity in binding profiles across phenethylamines and tryptamines correlates with similarity in the language used to describe experiences.
Conscious Cogn
December 8, 2020
Camila Sanz, Carla Pallavicini, Facundo Carrillo et al.
34 citations
Language produced under the influence of LSD shows increased entropy and reduced semantic coherence, consistent with a state of heightened neural entropy. Non-semantic analysis of speech organization revealed increased verbosity and a reduced lexicon, changes more similar to manic psychoses than to schizophrenia, as confirmed by direct comparison with reference samples. Features related to language organization allowed machine learning classifiers to identify speech under LSD with accuracy comparable to that obtained by examining semantic content. These results provide a quantitative characterization of disorganized natural speech as a landmark feature of the psychedelic state.
Frontiers in neuroscience
January 1, 2018
Camila Sanz, Federico Zamberlán, Earth Erowid et al.
3 citations
correction
No Summary
bioRxiv (Cold Spring Harbor Laboratory)
February 22, 2022
Camila Sanz, Federico Cavanna, Stephanie Müller et al.
1 citation
preprint
Low doses of psilocybin (microdoses) can be detected in natural speech. In a double-blind, placebo-controlled experiment, participants given 0.5 g of psilocybin mushrooms showed significant differences in verbosity and sentiment scores compared to placebo, though semantic variability did not differ. Machine learning classifiers using these speech metrics distinguished between the psilocybin and placebo conditions with high accuracy (AUC≈0.8). These findings suggest that unconstrained natural language may serve as a practical, low-cost tool for monitoring microdosing effects, addressing limitations of existing questionnaires designed for larger psychedelic doses.
Psychopharmacology
September 1, 2022
Camila Sanz, Federico Cavanna, Stephanie Müller et al.
Natural speech can reveal whether someone has taken a microdose of psilocybin. In a double-blind, placebo-controlled experiment, 34 healthy adults provided speech samples after consuming either 0.5 grams of psilocybin mushrooms or a placebo. Machine learning classifiers distinguished between the two conditions with high accuracy (AUC ~0.8), based on features such as verbosity and sentiment scores, though semantic variability did not differ significantly. This suggests that low doses of serotonergic psychedelics leave detectable signatures in unconstrained speech, offering a potential low-cost, non-invasive method for monitoring microdosing regimens.