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  • In recent years, there has been a renewed interest in the conceptual and empirical study of altered states of consciousness (ASCs) induced pharmacologically or otherwise, driven by their potential clinical applications. To draw attention to the rich history of research in this domain, we review prominent classification schemes that have been proposed to introduce systematicity in the scientific study of ASCs. The reviewed ASC classification schemes fall into three groups according to the criteria they use for categorization: (1) based on the nature, variety, and intensity of subjective experiences (state-based), including conceptual descriptions and psychometric assessments, (2) based on the technique of induction (method-based), and (3) descriptions of neurophysiological mechanisms of ASCs (neuro/physio-based). By comparing and extending existing classification schemes, we can enhance efforts to identify neural correlates of consciousness, particularly when examining mechanisms of ASC induction and the resulting subjective experience. Furthermore, an overview of what defining ASC characteristics different authors have proposed can inform future research in the conceptualization and quantification of ASC subjective effects, including the identification of those that might be relevant in clinical research. This review concludes by clustering the concepts from the state-based schemes, which are suggested for classifying ASC experiences. The resulting clusters can inspire future approaches to formulate and quantify the core phenomenology of ASC experiences to assist in basic and clinical research.

  • The Altered Xperience Project (AXP) is an ongoing research project that takes the form of an open citizen science initiative. Its main goal is to systematically collect and consolidate data on the subjective experiences induced by various consciousness-manipulating techniques (CMTs). These include both psychoactive substances as well as non-pharmacological manoeuvres that induce altered states of consciousness (ASCs); also known as ASC induction methods. AXP aims to build a publicly open repository of psychometric questionnaire data, accompanied by structured open reports. By providing systematically structured and machine-readable data that can be easily accessed by researchers, AXP will complement existing initiatives in this field. This article introduces a proof-of-principle dataset (dataset v1.0) that includes data collected until 05-2022, while the vast majority of the data was collected in the period 03-10-2022 to 13-10-2022. The dataset includes categorised data on low, medium and high doses of alcohol, cannabis, NMDA, and psilocybin. Participation was incentivised by an engaging infographic comparing one's own data with that of other participants. The pilot version of the AXP app was available in English and Spanish, and participants were recruited internationally, mainly through a social media campaign by El gato y la Caja, a citizen science group. The data is made available through the Open Science Framework (OSF): https://osf.io/c3zq5/

Last update from database: 04.06.25, 15:35 (UTC)