Mystical experiences are characterized by a profound sense of interconnectedness and transcendence of ordinary reality. These experiences can facilitate feelings of connectedness with oneself and others and have been documented as leading to significant positive changes in thoughts, emotions, and behavior. The purpose of the present study was to evaluate the...
This article proposes a research agenda for psilocybin-assisted therapy focusing on the correlation between neural entropy and long-term cognitive flexibility.
Psychedelics, such as psilocybin, reorganise large-scale brain connectivity, yet how these changes are reflected across electrophysiological (electroencephalogram, EEG) and haemodynamic (functional magnetic resonance imaging, fMRI) networks remains unclear. We present Brain-MGF, a multimodal graph fusion network for joint EEG-fMRI connectivity analysis. For ...
Psilocybin, a serotonergic psychedelic, has gained attention as a potential treatment for various psychiatric conditions. In this review, the authors summarize current clinical evidence related to psilocybin’s efficacy, safety, and mechanisms of action across psychiatric disorders. Findings from early-phase and small-scale clinical trials suggest rapid but v...
ABSTRACT Accidental ingestion of psilocybin-containing mushrooms can cause poisoning and hallucinations, making their rapid detection a public health priority. Conventional methods such as HPLC, GC-MS, LC-MS, TLC, CE, and ELISA provide sensitivity but are often destructive, time-consuming, or impractical for real-time applications. This study introduces a Ra...
Introduction This computational modeling study introduces a novel Explainable Artificial Intelligence (XAI) framework for optimizing single-dose psilocybin treatment protocols through personalized intervention modeling using publicly available mental health datasets. All results presented are derived from novel simulated data and predictive modeling only, no...
This is a double-blind, adaptive, 2-stage, multi-site, phase 2 randomized controlled clinical trial designed to evaluate effects of moderate and high dose psilocybin, relative to low-dose psilocybin control, in OUD patients who continue to use illicit opioids in spite of adherence to standard-of-care treatment with methadone. Up to 480 participations will be...
Humphry Osmond coined the term ‘psychedelic’ in 1956, conjoining ‘psyche’ for ‘soul’ and ‘delic’ from ‘dêlos’ for ‘to manifest’ or ‘illuminate.’ Soul-illumination is an adjective that describes a psychological state or process. However, Osmond’s intention was to use the adjective to name- not just a state- but a category of drug that can induce the subjectiv...
BACKGROUND AND AIMS: Drug discrimination procedures have made important contributions to the pre-clinical investigation of psychedelic drugs, such as psilocybin, lysergic acid diethylamide (LSD), N,N-dimethyltryptamine (DMT) and 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT). One of the most important being to highlight the critical role of central 5-HT2A rece...
BackgroundClassic serotonergic psychedelics are 5-HT2A partial agonists that induce non-ordinary states of consciousness. Many have demonstrated anti-addictive properties; however, their impact on smoking behaviors remains under-researched. This review provides a synthesis of the therapeutic potential of these compounds in promoting smoking cessation and red...
Psychedelics can profoundly alter consciousness by reorganising brain connectivity; however, their effects are context-sensitive. To understand how this reorganisation depends on context, we collected and comprehensively analysed the largest psychedelic neuroimaging dataset to date. Sixty-two adults were scanned with functional MRI and EEG during rest and na...
New methods that capture the public's perception of controversial topics may be valuable. This study investigates public sentiments towards psychedelics and other substances through analyzes of Reddit discussions, using Google’s cloud-based Natural Language Processing (NLP) infrastructure. Our findings indicate that illicit substances such as heroin and meth...
New methods that capture the public's perception of controversial topics may be valuable. This study investigates public sentiments towards psychedelics and other substances through analyzes of Reddit discussions, using Google’s cloud-based Natural Language Processing (NLP) infrastructure. Our findings indicate that illicit substances such as heroin and meth...
Psychoactive substances used for recreational purposes have mind-altering effects, but systematic evaluation of these effects is largely limited to self-reports. Automated analysis of expressed language (speech and written text) using natural language processing (NLP) tools can provide objective readouts of mental states. In this pre-registered systematic re...
Integrating advanced pharmaceutical innovations and artificial intelligence (AI) offers transformative potential for psychiatric care. This Patent Highlight reviews novel therapeutic strategies, including the synergistic use of monoamine antidepressants and short-duration psychedelics, alongside AI-driven behavioral efficacy tracking. The combination of sele...
Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disruptive innovations within mental healthcare in recent years. Although AI and psychedelics may not have historically shared any common ground, there exists the potential for these subjects to combine in generating innovative mental health treatment approaches. ...
Abstract Effective interventions for neuropsychiatric disorders may work by rebalancing the brain’s functional hierarchical organization. Here we directly investigated the effects of two different serotonergic pharmacological interventions on functional brain hierarchy in major depressive disorder in a two-arm double-blind phase II randomized controlled tria...
Abstract Psychoactive substances used for recreational purposes have mind-altering effects, but systematic evaluation of these effects is largely limited to self-reports. Automated analysis of expressed language (speech and written text) using Natural Language Processing (NLP) tools can provide objective readouts of mental states. In this pre-registered syst...
Anorexia nervosa (AN) is a deadly illness with no proven treatments to reverse core symptoms and no medications approved by the US Food and Drug Administration. Novel treatments are urgently needed to improve clinical outcomes. In this open-label feasibility study, 10 adult female participants (mean body mass index 19.7 kg m−2; s.d. 3.7) who met Diagnostic a...
