Trial reportNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2014
A window into the intoxicated mind? Speech as an index of psychoactive drug effects.
Trial report in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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
43 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
- A Systematic Review of the MDMA Model to Address Social Impairment in Autism.Current neuropharmacology · 2021Pooled it
- MDMA enhances positive affective responses to social feedback.Journal of psychopharmacology (Oxford, England) · 2024Trial
- Long-term follow-up outcomes of MDMA-assisted psychotherapy for treatment of PTSD: a longitudinal pooled analysis of six phase 2 trials.Psychopharmacology · 2020Trial
- Detection of acute 3,4-methylenedioxymethamphetamine (MDMA) effects across protocols using automated natural language processing.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Trial
- 3,4-Methylenedioxymethamphetamine-assisted psychotherapy for treatment of chronic posttraumatic stress disorder: A randomized phase 2 controlled trial.Journal of psychopharmacology (Oxford, England) · 2018Trial
- Altered Insula Connectivity under MDMA.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017Trial
- Intimate insight: MDMA changes how people talk about significant others.Journal of psychopharmacology (Oxford, England) · 2015Trial
- Interrogating roles for VTA dopamine neurons in locomotion and ultrasonic vocalizations elicited by different classes of rewarding drugs.Psychopharmacology · 2026Article
- Analysis of conceptual overlap among formal thought disorder rating scales in psychosis: a systematic semantic synthesis.Schizophrenia (Heidelberg, Germany) · 2025Article
- Turning Patients' Open-Ended Narratives of Chronic Pain Into Quantitative Measures: Natural Language Processing Study.JMIR human factors · 2025Article
- Dynamics of language grounding: on the time course, durability, adaptability, and vulnerability of embodied effects.Frontiers in psychology · 2025Review
- Design and methodology of the first open-label trial of MDMA-assisted therapy for veterans with post-traumatic stress disorder and alcohol use disorder: Considerations for a randomized controlled trial.Contemporary clinical trials communications · 2024Article
- Automated Speech Analysis in Bipolar Disorder: The CALIBER Study Protocol and Preliminary Results.Journal of clinical medicine · 2024Article
- Interdisciplinary approach to identify language markers for post-traumatic stress disorder using machine learning and deep learning.Scientific reports · 2024Article
- Toolkit to Examine Lifelike Language (TELL): An app to capture speech and language markers of neurodegeneration.Behavior research methods · 2024Article
- Pioneering Changes in Psychiatry: Biomarkers, Psychedelics, and AI.ACS medicinal chemistry letters · 2023Article
- Social Psychopharmacology: Novel Approaches to Treat Deficits in Social Motivation in Schizophrenia.Schizophrenia bulletin · 2023Review
- Social anxiety and MDMA-assisted therapy investigation: a novel clinical trial protocol.Frontiers in psychiatry · 2023Article
- Natural language signatures of psilocybin microdosing.Psychopharmacology · 2022Article
- The altered state of consciousness induced by Δ9-THC.Consciousness and cognition · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Abused drugs can profoundly alter mental states in ways that may motivate drug use. These effects are usually assessed with self-report, an approach that is vulnerable to biases. Analyzing speech during intoxication may present a more direct, objective measure, offering a unique 'window' into the mind. Here, we employed computational analyses of speech semantic and topological structure after ±3,4-methylenedioxymethamphetamine (MDMA; 'ecstasy') and methamphetamine in 13 ecstasy users. In 4 sessions, participants completed a 10-min speech task after MDMA (0.75 and 1.5 mg/kg), methamphetamine (20 mg), or placebo. Latent Semantic Analyses identified the semantic proximity between speech content and concepts relevant to drug effects. Graph-based analyses identified topological speech characteristics. Group-level drug effects on semantic distances and topology were assessed. Machine-learning analyses (with leave-one-out cross-validation) assessed whether speech characteristics could predict drug condition in the individual subject. Speech after MDMA (1.5 mg/kg) had greater semantic proximity than placebo to the concepts friend, support, intimacy, and rapport. Speech on MDMA (0.75 mg/kg) had greater proximity to empathy than placebo. Conversely, speech on methamphetamine was further from compassion than placebo. Classifiers discriminated between MDMA (1.5 mg/kg) and placebo with 88% accuracy, and MDMA (1.5 mg/kg) and methamphetamine with 84% accuracy. For the two MDMA doses, the classifier performed at chance. These data suggest that automated semantic speech analyses can capture subtle alterations in mental state, accurately discriminating between drugs. The findings also illustrate the potential for automated speech-based approaches to characterize clinically relevant alterations to mental state, including those occurring in psychiatric illness.
Indexed as
Identifiers
What OpenQuestion holds
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.