The present study uses latent class methods and multiple regression to shed light on hypothesized cocaine dependence syndromes experienced by community residents, who initiated cocaine use within ...

The relative impact of chronic vs acute cocaine on dependence-related variability in reward processing in cocaine-dependent individuals (CD) is not well understood, despite the relevance of such ...

Philadelphia, PA, November 28, 2012 – Medication development efforts for cocaine dependence have yet to result in an FDA approved treatment. The powerful rewarding effects of cocaine, the ...

Cocaine dependence devastates millions of human lives. Despite of a variety of treatments, there is a very high rate of individual relapse to drug use. In the last decade, functional magnetic ...

People who take cocaine over many years without becoming addicted have a brain structure which is significantly different from those individuals who developed cocaine-dependence, researchers have ...

Introduction A number of candidate stimulant-like agents have been studied for the treatment of cocaine dependence based on the “agonist substitution” model, similar to the use of methadone to treat ...

February 1, 2012 — The partial agonist varenicline (Chantix, Pfizer), which is commonly used as a smoking cessation treatment, may also be effective in treating cocaine dependence, new research ...

Greenland on Thursday handed a 30-year permit to a European Union-backed project that aims to mine molybdenum, a critical metal used in aerospace, energy and defence and on which China has imposed ...

Crack-cocaine dependence is a severe condition with a high mortality rate. This single case study report details the first deep brain stimulation (DBS) trial targeting the sub-thalamic nucleus (STN) ...

Behavioral and Functional Evidence of Metabotropic Glutamate Receptor 2/3 and Metabotropic Glutamate Receptor 5 Dysregulation in Cocaine-Escalated Rats: Factor in the Transition to Dependence.

Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of ...