Trial reportJMIR formative research2024
Psychedelic Art and Implications for Mental Health: Randomized Pilot Study.
Trial report in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Aesthetic experience as a candidate process linking group art therapy to social anxiety relief: a randomized trial with repeated process assessment.Frontiers in psychology · 2026Article
- Factors Influencing Virtual Art Therapy in Patients with Stroke.Brain sciences · 2025Article
- Preliminary validation and refinement of the psychedelic aesthetic experience questionnaire.Frontiers in psychology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundPsychedelic art (PA) emerged in the 1960s during the psychedelic era; then characterized by visuals induced by the ingestion of psychedelic drugs, it is now an art form known for its vibrant colors, distorted forms, and intricate patterns. Building upon the existing research on art viewing as an effective means to improving physiological and psychological well-being, viewing PA is postulated to evoke positive emotions and provide a meditative experience, contributing to improved mental well-being.
objectiveThis study aims to investigate how digitally rendered PA influences viewers' perceived emotional, mental, and physical states compared to imagery of natural scenery, offering insights into potential applications in mental health care and well-being.
methodsOverall, 102 participants age 18 to 35 years were randomly assigned to either the experimental group viewing 300 seconds of PA imagery (50/102, 49%) or the control group viewing 300 seconds of scenic imagery (52/102, 51%), after which every participant completed a survey that gathered qualitative data on the perceived impact of viewing their given imagery on their physical, mental, and emotional states through open-ended questions. Thematic analysis was conducted to identify the patterns of experiences reported by the participants.
resultsQualitative analysis unveiled a greater intensity and diversity of emotional, mental, and physical impacts induced by PA compared to natural scenery, including the sense of relaxation and peace, anxiety and stress alleviation, joy, thrill and sense of euphoria, sensations of awe and wonder, hypnotizing effect, holistic meditative effect, provocation of creative thoughts, induced hyperawareness of bodily states, and transitions from induced overstimulation or anxious thoughts to feelings of calmness.
conclusionsThe preliminary findings of this study suggest that PA is a rich and complex form of visual art that has the potential to facilitate healing and promote well-being and mental health. PA presents promising avenues for integration into mental health care, therapeutic practices, digital health, health care environment, and medical research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.