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Monitoring the dynamics of ketamine analogues use in China through wastewater analysis: The emergence of 2-FDCNEK and 2-MDCK.
Sci Total Environ
December 2024
School of Environment and Resource, Southwest University of Science and Technology, Mianyang, China.
Ketamine analogues are rapidly emerging around the world and are considered one of the new psychoactive substances (NPS) of greatest concern. However, little is known about their actual use at the community level and their evolution on the drug market. Wastewater-based epidemiology is a useful tool to explore the profile of NPS use.
View Article and Find Full Text PDFReal-world demographic and clinical profiles of patients with treatment-resistant depression initiated on esketamine nasal spray.
Int J Psychiatry Clin Pract
June 2024
University Department of Psychiatry, Therapeutic Centre of Excellence, Institute of Psychiatry - Rouvray Hospital Centre, Sotteville-lès-Rouen, France.
Objective: ESKALE is a French, multicentre, observational study of adults with treatment-resistant depression (TRD) treated with esketamine. This interim analysis describes baseline demographic and clinical characteristic evolution in patients included and treated from early access program to post-marketing launch.
Methods: Data were collected from medical records and included patient characteristics, disease history at esketamine initiation, use of neurostimulation, the patient's care pathway, and the number of antidepressant treatment lines prescribed prior to esketamine initiation.
Research trends and hotspots of ketamine from 2014 to 2023: a bibliometric analysis.
Front Neurosci
June 2024
Department of Anesthesiology, West China Second Hospital, Sichuan University, Chengdu, China.
Background: Despite this growing interest, there remains a lack of comprehensive and systematic bibliometric analyses of ketamine research. This study aimed to summarize the progress in ketamine research through bibliometric analysis, providing insights into the development and direction of the field.
Methods: Publications related to ketamine were retrieved from the Web of Science Core Collection (WoSCC) database on February 15, 2024.
Using Drift Diffusion and RL Models to Disentangle Effects of Depression On Decision-Making vs. Learning in the Probabilistic Reward Task.
Comput Psychiatr
May 2024
Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont MA, USA.
The Probabilistic Reward Task (PRT) is widely used to investigate the impact of Major Depressive Disorder (MDD) on reinforcement learning (RL), and recent studies have used it to provide insight into decision-making mechanisms affected by MDD. The current project used PRT data from unmedicated, treatment-seeking adults with MDD to extend these efforts by: (1) providing a more detailed analysis of standard PRT metrics-response bias and discriminability-to better understand how the task is performed; (2) analyzing the data with two computational models and providing psychometric analyses of both; and (3) determining whether response bias, discriminability, or model parameters predicted responses to treatment with placebo or the atypical antidepressant bupropion. Analysis of standard metrics replicated recent work by demonstrating a dependency between response bias and response time (RT), and by showing that reward totals in the PRT are governed by discriminability.
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