AIMC Topic: Psychotropic Drugs
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What do patients learn about psychotropic medications on the web? A natural language processing study.
Journal of affective disorders
Sep 10, 2019
BACKGROUND: Low rates of medication adherence remain a major challenge across psychiatry. In part, this likely reflects patient concerns about safety and adverse effects, accurate or otherwise. We therefore sought to characterize online information a...
Metabolomics predicts the pharmacological profile of new psychoactive substances.
Journal of psychopharmacology (Oxford, England)
Nov 19, 2018
BACKGROUND: The unprecedented proliferation of new psychoactive substances (NPS) threatens public health and challenges drug policy. Information on NPS pharmacology and toxicity is, in most cases, unavailable or very limited and, given the large numb...
Simultaneous LC-MS/MS determination of 40 legal and illegal psychoactive drugs in breast and bovine milk.
Food chemistry
Oct 10, 2017
This work presents a fast, sensitive and reliable multi-residue methodology based on fat and protein precipitation and liquid chromatography-tandem mass spectrometry for the determination of common legal and illegal psychoactive drugs, and major meta...
Change in quality of life in older people with dementia participating in Paro-activity: a cluster-randomized controlled trial.
Journal of advanced nursing
Aug 16, 2016
AIM: The aim of this study was to investigate effects of robot-assisted group activity with Paro on quality of life in older people with dementia.
Investigation of rat exploratory behavior via evolving artificial neural networks.
Journal of neuroscience methods
Jun 17, 2016
BACKGROUND: Neuroevolution comprises the use of evolutionary computation to define the architecture and/or to train artificial neural networks (ANNs). This strategy has been employed to investigate the behavior of rats in the elevated plus-maze, whic...
Effect of an interactive therapeutic robotic animal on engagement, mood states, agitation and psychotropic drug use in people with dementia: a cluster-randomised controlled trial protocol.
BMJ open
Aug 12, 2015
INTRODUCTION: Apathy, agitated behaviours, loneliness and depression are common consequences of dementia. This trial aims to evaluate the effect of a robotic animal on behavioural and psychological symptoms of dementia in people with dementia living ...
Identifying metabolites of new psychoactive substances using in silico prediction tools.
Archives of toxicology
Jul 1, 2025
New psychoactive substances (NPS) pose an increasing challenge for clinical and forensic toxicology due to the initial lack of analytical and metabolic data. This study evaluates the performance of four in silico prediction tools (GLORYx, BioTransfor...
Developing a machine learning algorithm to predict psychotropic drugs-induced weight gain and the effectiveness of anti-obesity drugs in patients with severe mental illness: Protocol for a prospective cohort study.
PloS one
Jan 1, 2025
Obesity is a global public health concern, often co-occurring in patients with severe mental illnesses. The impact of psychotropic drugs-induced weight gain is augmenting the disease burden and healthcare expenditure. However, predictors of psychotro...
Metabolite Profiling of ADB-FUBINACA, A New Synthetic Cannabinoid.
Current neuropharmacology
Jul 1, 2017
Metabolite profiling of novel psychoactive substances (NPS) is critical for documenting drug consumption. N-(1-amino-3,3-dimethyl-1-oxobutan-2-yl)-1-(4-fluorobenzyl)-1H-indazole-3-carboxamide (ADB-FUBINACA) is an emerging synthetic cannabinoid whose ...
Semantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug Repurposing.
Studies in health technology and informatics
Jan 1, 2015
There remain significant difficulties selecting probable candidate drugs from existing databases. We describe an ontology-oriented approach to represent the nexus between genes, drugs, phenotypes, symptoms, and diseases from multiple information sour...
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