JOURNAL ARTICLE

Altered states of consciousness in Danish healthy volunteers and recreational users of psilocybin and the possible impact of setting and intention: Danish validation of the five-dimensional altered states of consciousness questionnaire.

  • Published In: Journal of Psychopharmacology, 2024, v. 38, n. 10. P. 924 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hovmand, Oliver Rumle; Madsen, Martin Korsbak; Fisher, Patrick MacDonald; Stenbæk, Dea Siggaard 3 of 3

Abstract

This article focuses on the validation of a Danish translation of the Five Dimensional Altered States of Consciousness Questionnaire (5D-ASC), a 94-item self-report instrument commonly used to measure acute psychedelic-induced altered states of consciousness (ASC). The study analyzed data from two samples: healthy volunteers administered psilocybin in a laboratory setting (N=47) and recreational psilocybin users reporting retrospectively via an online survey (N=550). Confirmatory factor analysis indicated that scoring the 5D-ASC using 11 subscales provided a better fit and good internal consistency compared to the original five-dimensional model. Additionally, 5D-ASC total scores correlated positively with psilocybin dose but showed no significant association with the setting or intention of use. The findings support the Danish 5D-ASC as a reliable and valid tool for assessing psychedelic-induced ASC, recommending further research to determine which scoring method best predicts clinical outcomes.

Additional Information

  • Source:Journal of Psychopharmacology. 2024/10, Vol. 38, Issue 10, p924
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:0269-8811
  • DOI:10.1177/02698811241269669
  • Accession Number:180298322
  • Copyright Statement:Copyright of Journal of Psychopharmacology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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