Topic
Psychotropic drug
About: Psychotropic drug is a research topic. Over the lifetime, 2309 publications have been published within this topic receiving 54070 citations.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In treated and untreated children alike, adiposity is a significant predictor of liver fat content, and this relationship was altered by low vitamin D level, suggesting a modifiable pathway to hepatic steatosis.
Abstract: Context: Pediatric obesity is common, particularly in children treated with antipsychotic medications. Antipsychotic exposure can increase cardiometabolic risk by increasing adiposity, and possibly via other adiposity-independent pathways. Objective: The objectives were to characterize relationships of adiposity with intrahepatic triglyceride (IHTG) content and carotid intima media thickness (CIMT) in children with and without antipsychotic drug treatment, and to explore whether vitamin D alters any effects in these relationships. Design: This was a cross-sectional case-control study. Setting: The setting was an academic medical center. Patients or Other participants: Participants were 44 children (ages, 6–19 y): 25 cases treated with antipsychotic and other psychotropic drug therapies and 19 untreated controls, frequency-matched on age, gender, and body mass index. Main Outcome Measures: Main outcome measures were dual-energy x-ray absorptiometry percentage body fat (DEXA %fat), IHTG measured by magnetic...
2 citations
••
TL;DR: It is reported that an increased fall risk from the use of psychotropic drugs was associated with impairments in postural control, which these drugs could induce, and shorter-acting benzodiazepines were not safer than long-acting ones.
Abstract: de Groot et al. [1] reported that an increased fall risk from the use of psychotropic drugs was associated with impairments in postural control, which these drugs could induce [1]. The effects seem to be more pronounced when the half-life is longer [1]. Hangover effects on postural control (after 8 h of administration) were found mainly for benzodiazepines with an intermittent or long half-life [1]. However, some factors, except for hangover effects and nightly effects, such as the strength of the preparation and muscle-relaxant effects, affect fall risk. Psychotropic drugs with a short half-life may be likely to confuse patients, increasing fall risk. In fact, one meta-analysis showed that the pooled odds ratio for one or more falls in older people was 1.44 (95 % confidence interval [CI] 1.09–1.90) for short-acting benzodiazepines and 1.32 (95 % CI 0.98–1.77) for long-acting benzodiazepines [2]. The American Geriatrics Society 2012 Beers Criteria Update Expert Panel reported that shorter-acting benzodiazepines were not safer than long-acting ones [3]. Are psychotropic drugs with longer half-lives more likely to increase fall risk than psychotropic drugs with shorter half-lives?
2 citations
••
TL;DR: The terms anticonvulsant, antipsychotic, and mood stabilizer are proposed to be replaced with the more pharmacologically and pathophysiologically-related term “NEUROREGULATOR” to help avoid patient confusion and improve medication compliance.
Abstract: Despite the increasing burden of mental illness, social stigma and fears about the potential mind-altering effects of psychotropic drugs prevent most persons from seeking treatment. The problem is compounded by the high rate of diagnostic uncertainty in psychiatry and psychotropic drug labels that can be as confusing as the diagnosis. The terms “anticonvulsant” and “antipsychotic” often have little to do with what is being treated, and the replacement term “mood stabilizer” is inadequate because many patients for whom mood stabilizers are prescribed do not experience any significant mood instability. This calls for a more appropriate label for these psychotropic drugs. Anticonvulsants and antipsychotics have neuroregulatory effects, and converging lines of evidence suggest that most psychiatric disorders are rooted in an inherent hyperexcitability of the neurological system—the neurons won’t shut off. Based on these observations, I propose that the terms anticonvulsant, antipsychotic, and mood stabilizer be replaced with the more pharmacologically and pathophysiologically-related term “NEUROREGULATOR.” The adoption of this descriptive, user-friendly term by prescribing clinicians and dispensing pharmacists would help avoid patient confusion and improve medication compliance by helping patients conceptualize what these drugs do in the brain and how they might be working to relieve symptoms.
2 citations
•
09 Jan 2014
TL;DR: In this paper, an apparatus for predicting treatment responsiveness of a serotonergic psychotropic drug and a predicting method thereof is described, which is characterized by comprising: a database unit for storing multiple groups as database by classifying them on the base of the relationship between Loudness Dependence of the Auditory Evoked Potential (LDAEP) and treatment responsiveness, and a linear regression analysis unit for measuring event-evoked potential reponses for strength of predetermined numbers of auditory stimuli.
Abstract: Disclosed are an apparatus for predicting treatment responsiveness of a serotonergic psychotropic drug and a predicting method thereof. The apparatus for predicting treatment responsiveness of the serotonergic psychotropic drug according to the present invention is characterized by comprising: a database unit for storing multiple groups as database by classifying them on the base of the relationship between Loudness Dependence of the Auditory Evoked Potential (LDAEP) and treatment responsiveness of the serotonergic psychotropic drug; a linear regression analysis unit for measuring event-evoked potential reponses for strength of predetermined numbers of auditory stimuli and analyzing, through linear regression, changing values of an amplitude among the event-evoked potentials measured; an LDAEP determination unit for determining LDAEP on the basis of the values measured by the linear regression analysis unit; and a responsiveness predicting unit for predicting treatment responsiveness of the serotonergic psychotropic drug by comparing the LDAEP determined by the LDAEP determination unit with database stored in the database unit. [Reference numerals] (110) Database unit; (120) Regression analysis unit; (130) LDAEP determination unit; (140) Responsiveness analysis unit
2 citations