Quetiapine, an atypical antipsychotic, reduces characteristic symptoms of marijuana withdrawal in a variety of psychiatric conditions, including mood lability, sleep disruption BEZ235 nmr and anorexia. This human laboratory study investigated the effectiveness

of quetiapine to decrease marijuana withdrawal and relapse to marijuana use in non-treatment-seeking marijuana smokers. Volunteers were maintained on placebo or quetiapine (200mg/day) in this double-blind, counter-balanced, within-subject study consisting of two 15-day medication phases, the last 8 days of which were in-patient. On the first in-patient day, active marijuana [6.2% delta (9)-tetrahydrocannabinol (THC)] was repeatedly smoked under controlled conditions. For the next 3 days, inactive marijuana

(0.0% THC) was available for self-administration (withdrawal). On the subsequent 4 days, active marijuana (6.2% THC) was available for self-administration (relapse). Volunteers (n=14) who smoked an average of 10 marijuana cigarettes/day, CP-456773 datasheet 7 days/week, completed the study. Under placebo, withdrawal was marked by increased subjective ratings of negative mood, decreased sleep quality, and decreased caloric intake and weight loss. Compared with placebo, quetiapine improved sleep quality, increased caloric intake and decreased weight loss. However, quetiapine increased marijuana craving and marijuana self-administration during the relapse phase. These data do not suggest that quetiapine selleckchem shows promise as a potential treatment for marijuana dependence.”
“This study used a retrospective analysis of adults with single-ventricle physiology to ascertain the predictive power of cardiopulmonary stress-testing parameters in determining patients at increased risk of suffering from adverse clinical outcomes. We found that the specific parameters of percent of maximum predicted heart rate achieved and maximum oxygen consumption were significantly correlated with adverse clinical outcomes in patients with single-ventricle congenital heart disease.”
“Introduction: Cardiac arrhythmia findings

can be a challenge to interpret and difficult to attribute to background incidence or test article treatment. Thus, there is a growing need to better understand arrhythmia incidence in the experimental animal models used to assess the cardiovascular safety of new drugs. Currently, there is little information on the frequency of spontaneous cardiac arrhythmias in the cynomolgus monkey. Methods: This study evaluated the baseline arrhythmia rate in a group (n = 19) of non-naive (drug-free) male telemetered cynomolgus monkeys at various timepoints over a 6 month period. When sampled, data were collected continuously (24 hour bins over a 6 month period) and the ECG waveforms analyzed for arrhythmia using a semi-automated approach with pattern recognition software. The arrhythmia data were evaluated to detect atrial and ventricular patterns, as well as changes associated with circadian rhythm.