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Language as a Window Into the Altered State of Consciousness Elicited by Psychedelic Drugs

Enzo Tagliazucchi

Frontiers in Pharmacology March 22, 2022 DOI: 10.3389/fphar.2022.812227 via OpenAlex

Summary

AI-generated from the abstract

Psychedelics profoundly alter subjective experience, sometimes with lasting effects, yet how they affect language production is understudied. This review examines two aspects: how acute psychedelic effects impact speech organization regardless of semantic content, and how analyzing semantic content of written retrospective reports can characterize subjective effects. Computational analysis of language production can partially predict therapeutic outcomes, relate psychedelic effects to other altered states and psychiatric disorder symptoms, and investigate neurochemical profiles and mechanisms of action. The authors conclude that analyzing brief interviews before, during, and after acute effects can expand scientific conclusions, and they list open questions for future research.

Study at a glance

Characteristics Review Peer reviewed
Topics Psilocybin
Keywords Consciousness Neurochemical Relevance law Cognitive psychology
Citations 20
Key finding Computational characterization of language production can partially predict therapeutic outcomes of psychedelic experiences and relate them to other altered states and psychiatric symptoms.

Abstract

Psychedelics are drugs capable of eliciting profound alterations in the subjective experience of the users, sometimes with long-lasting consequences. Because of this, psychedelic research tends to focus on human subjects, given their capacity to construct detailed narratives about the contents of their consciousness experiences. In spite of its relevance, the interaction between serotonergic psychedelics and language production is comparatively understudied in the recent literature. This review is focused on two aspects of this interaction: how the acute effects of psychedelic drugs impact on speech organization regardless of its semantic content, and how to characterize the subjective effects of psychedelic drugs by analyzing the semantic content of written retrospective reports. We show that the computational characterization of language production is capable of partially predicting the therapeutic outcome of individual experiences, relate the effects elicited by psychedelics with those associated with other altered states of consciousness, draw comparisons between the psychedelic state and the symptomatology of certain psychiatric disorders, and investigate the neurochemical profile and mechanism of action of different psychedelic drugs. We conclude that researchers studying psychedelics can considerably expand the range of their potential scientific conclusions by analyzing brief interviews obtained before, during and after the acute effects. Finally, we list a series of questions and open problems that should be addressed to further consolidate this approach.

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