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Psychotropic Drugs

Psychotropic drugs are a class of medications that affect the central nervous system, influencing mood, perception, and behavior.
These substances can be used to treat a variety of mental health conditions, including depression, anxiety, psychosis, and substance abuse disorders.
Psychotropic drugs work by modulating the activity of neurotransmitters in the brain, such as serotonin, dopamine, and norepinephrine.
They can be divided into several subclasses, including antidepressants, antipsychotics, anxiolytics, and mood stabilizers.
Proper use of psychotropic medications, under the guidance of a qualified healthcare provider, can help many individuals manage their mental health challenges and improve their quality of life.
However, these drugs must be used with caution due to the potential for side effects and the risk of dependence or abuse.
Researchers studying the effects and applications of psychotropic drugs play a vital role in advancing our understanding and improving treatment options for those in need.

Most cited protocols related to «Psychotropic Drugs»

All participants had normal or corrected vision, no history of neurological, psychiatric, or vascular disease, and were not taking any psychotropic or hypertension medications. In addition, they were considered ‘non-gamers’ given that they played less than 2 hours of any type of video game per month. For NeuroRacer, each participant used their left thumb for tracking and their right index finger for responding to signs on a Logitech (Logitech, USA) gamepad controller. Participants engaged in three 3-minute runs of each condition in a randomized fashion. Signs were randomly presented in the same position over the fixation cross for 400 msec every 2, 2.5, or 3 seconds, with the speed of driving dissociated from sign presentation parameters. The multitasking cost index was calculated as follows: [(‘Sign & Drive’ performance - ‘Sign Only’ performance) / ‘Sign Only’ performance] * 100. EEG data for 1 MTT Post-training participant and 1 STT Pre-training participant were corrupted during acquisition. 2 MTT participants, 2 STT participants, and 4 NCC participants were unable to return to complete their 6-month follow-up assessments. Critically, no between-group differences were observed for neuropsychological assessments (p= .52) or Pre-training data involving: i) NeuroRacer thresholding for both Road (p= .57) and Sign (p= .43), ii) NeuroRacer component task performance (p> .10 for each task), iii) NeuroRacer multitasking costs (p= .63), iv) any of the cognitive tests (all ANOVAs at Pre-training: p≥ .26), v) ERSP power for either condition (p≥ .12), and, vi) coherence for either condition (p≥ .54).
Publication 2013
Cognitive Testing Crossing Over, Genetic Fingers High Blood Pressures N-(4-hydroxyphenethyl)cotinine carboxamide Neoplasm Metastasis neuro-oncological ventral antigen 2, human Neuropsychological Tests Pharmaceutical Preparations Psychotropic Drugs Task Performance Thumb Vascular Diseases Vision
All participants had normal or corrected vision, no history of neurological, psychiatric, or vascular disease, and were not taking any psychotropic or hypertension medications. In addition, they were considered ‘non-gamers’ given that they played less than 2 hours of any type of video game per month. For NeuroRacer, each participant used their left thumb for tracking and their right index finger for responding to signs on a Logitech (Logitech, USA) gamepad controller. Participants engaged in three 3-minute runs of each condition in a randomized fashion. Signs were randomly presented in the same position over the fixation cross for 400 msec every 2, 2.5, or 3 seconds, with the speed of driving dissociated from sign presentation parameters. The multitasking cost index was calculated as follows: [(‘Sign & Drive’ performance - ‘Sign Only’ performance) / ‘Sign Only’ performance] * 100. EEG data for 1 MTT Post-training participant and 1 STT Pre-training participant were corrupted during acquisition. 2 MTT participants, 2 STT participants, and 4 NCC participants were unable to return to complete their 6-month follow-up assessments. Critically, no between-group differences were observed for neuropsychological assessments (p= .52) or Pre-training data involving: i) NeuroRacer thresholding for both Road (p= .57) and Sign (p= .43), ii) NeuroRacer component task performance (p> .10 for each task), iii) NeuroRacer multitasking costs (p= .63), iv) any of the cognitive tests (all ANOVAs at Pre-training: p≥ .26), v) ERSP power for either condition (p≥ .12), and, vi) coherence for either condition (p≥ .54).
Publication 2013
Cognitive Testing Crossing Over, Genetic Fingers High Blood Pressures N-(4-hydroxyphenethyl)cotinine carboxamide Neoplasm Metastasis neuro-oncological ventral antigen 2, human Neuropsychological Tests Pharmaceutical Preparations Psychotropic Drugs Task Performance Thumb Vascular Diseases Vision

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Publication 2011
Adult Child Homo sapiens Mental Disorders Metals Psychotropic Drugs
A total of 22 subjects were recruited in this study including 8 young controls (4 men and 4 women, age range: 24–40 years, mean 31) and 14 older adults (6 men and 8 women, age range: 50–73 years, mean 61). In order to match the prevalence of AD in the older population, 1 AD and 2 MCI patients were included as positive controls whose diagnoses were based on consensus conference case reviews. The rest of the older individuals were selected from a carefully characterized cohort known as The Wisconsin Registry for AD Prevention (WRAP), many of whom have a parent with AD and are considered at high risk to develop AD (20 (link)). The study was approved by the Institutional Review Board at the University of Wisconsin. All participants provided informed consent prior to participation. The consent process included an initial screening for MRI and PET compatibility and discussion of major safety exclusion criteria. Study exclusion criteria included contraindications to MRI and PET; less than 10 years of education; pregnancy; major head trauma, psychiatric disease such as schizophrenia and substance dependence, or abnormal structural MRI and neuropsychological testing as part of study participation. Excluded medications include psychoactive medications, neuroleptics, short or long acting nitrates, and warfarin or other drugs that may affect CBF (such as caffeine within 3 hours and nicotine within 1 hour of the imaging exam).
Publication 2010
Aged Antipsychotic Agents Caffeine Conferences Craniocerebral Trauma Diagnosis Ethics Committees, Research Mental Disorders Nicotine Nitrates Parent Patients Pharmaceutical Preparations Pregnancy Psychotropic Drugs Safety Schizophrenia Substance Dependence Warfarin Woman

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Publication 2013
Adult Child Healthy Volunteers Legal Guardians Mental Disorders Psychotropic Drugs

Most recents protocols related to «Psychotropic Drugs»

Patients between 18 and 65 years of age referred to a treatment package for single-episode depression will be recruited (Table 1) with minimal exclusion criteria to recruit representative adult outpatients who would typically receive treatment in routine practice (Table 1), of which the majority are women (71%) and aged 18–35 (68%) (S. Figure 1). Patients over 65 (approximately 0.7% of the target population) are excluded because of potential age-related cognitive decline, concomitant medical conditions, or medications that could interact with assessments or treatment (S. Figure 1). Allocation into the subcohorts is based on eligibility, e.g., MRI compatibility, scheduling, and patient willingness to participate.

Inclusion and exclusion criteria for patients

Patient inclusion criteria:

• Fulfilment of ICD-10 diagnostic criteria for a primary depressive episode (i.e., not secondary to known organic or other psychiatric disorder)

• Referral to a treatment package for single-episode depression

• Age between 18 and 65 years

Exclusion criteria:

• Psychosis or psychotic symptoms

• History of severe head trauma involving hospitalization or unconsciousness for more than 5 min

• Known, substantial structural brain abnormalities

• Insufficient Danish language skills to complete questionnaires and cognitive testing

Additional exclusion criteria for subcohort I:

• Severe somatic disease

• Contraindications for MRI (e.g., metal implants, claustrophobia, or back problems)

Additional exclusion criteria for subcohort I:

• Use of psychotropic drugs

• Exposure to radioactivity > 10 mSv within the last year

• Pregnancy or breastfeeding

The primary depressive episode, consistent with the International Statistical Classification of Diseases and Related Health Problems version 10 (ICD-10) criteria for MDD without psychotic features (F32.1, F32.2, F32.8 and F32.9), is confirmed by a specialist in psychiatry at the central diagnostic and referral centre.
Publication 2023
Adult Brain Claustrophobia Cognition Congenital Abnormality Craniocerebral Trauma Diagnosis Diploid Cell Disorders, Cognitive Eligibility Determination Hospitalization Mental Disorders Metals Outpatients Patients Pharmaceutical Preparations Pregnancy Psychotic Disorders Psychotropic Drugs Radioactivity Satisfaction Target Population Woman
Detailed medical information about previous illness, medication usage, hereditary dispositions, drug, tobacco, and alcohol intake will be acquired for all participants through interviews, self-report questionnaires, electronic medical records (EMR), and registry data.
Data extracted from the EMR will include treatment codes from the MDD treatment package, dates for treatment package start and completion, psychiatric comorbidities; and standard clinical blood work (e.g., HBA1c, TSH, CRP, and cholesterol). In addition, hormonal contraceptive and psychotropic medication prescription and usage (from 1995 onward) will be extracted from the Danish National Prescription Registry [55 (link), 56 ]. This information includes prescribed medication and dosage and when the patient redeems a prescription. We will retrieve information on lifetime comorbidity from The Danish National Patient Registry (DNPR) [57 (link)]. From the Medical Birth Registry, we will obtain data on maternal and maternal perinatal health [58 (link)]. We will also collect information on alcohol and drug abuse treatment from the National Registry of Alcohol Treatment and Registry of Drug Abusers Undergoing Treatment. From the social registers in Statistics Denmark, we add data on marital status, occupational history, ethnicity, and educational level [59 (link)].
Publication 2023
Abuse, Alcohol BLOOD Cholesterol Contraceptive Agents Drug Abuser Ethanol Ethnicity Mothers Patients Pharmaceutical Preparations Psychotropic Drugs Tobacco Products
Participants were adolescents enrolled in 7th-grade classes from two middle schools in two cities (Xinyang & Jiaxing) of central China. Inclusion criteria were: (1) voluntary participation; (2) familiar with the computer; (3) without mental disorder diagnosis or severe physical problems; (4) not currently receiving treatment with psychotherapy or psychotropic medication. Participants’ recruitment progress through the study is presented in Fig. 1. A total of 121 middle school students were included in the final analysis (53.70% female, mean age = 13.89, SD = 1.09, range = 12–17; CBM-I group: 57.38% female, mean age = 13.74, SD = 1.14; control group: 50.00% female, mean age = 14.05, SD = 1.02), 61 of them were assigned to CBM-I group, 60 of them were assigned to control group.
A power analysis with G*Power 3.1.9.2 (Faul et al., 2009 (link)) of repeated measures of ANOVA was used to calculate the required sample size. The results indicated that 56 participants for each condition were needed to yield statistical power of 1-β = 0.90 at α = 0.05 for a medium effect size (f = 0.25). That was to say, 112 participants in total were needed to be capable to detect an effect of this magnitude. The total sample size in the current study exceeded this minimum.

CONSORT flowchart for participants’ recruitment

Publication 2023
A 121 Adolescent Diagnosis Females Mental Disorders neuro-oncological ventral antigen 2, human Physical Examination Psychotherapy Psychotropic Drugs Student
Two hundred and ten individuals were willing to join this study (May 10, 2021, to July 1, 2022). The exclusion criteria for the two groups were as follows: type 1 diabetes mellitus, impaired fasting glucose or impaired glucose tolerance58 (link), hypertension, hypoglycemia (blood sugar levels < 3.9 mmol/L), hyperlipidemia, serious eye diseases (e.g., blindness), symptoms of neurological conditions (e.g., cerebral infarction or hemorrhage), history of neurological abnormality (e.g., Parkinson’s disease), severe head injuries or chronic head discomfort (e.g., migraine), BMI > 31 kg/m2, left- or mixed-handedness, substance (tobacco, alcohol, or psychoactive drug) abuse, taking medications that may affect cognition and memory within 6 months, specific abnormalities detected on conventional MRI scans or any other factors that may influence brain structure or function (e.g., extreme physical weakness, chronic infections, and other endocrine diseases). Patients with T2DM were diagnosed by two experienced endocrinologists following international clinical standards59 . MCI was evaluated via Mini-Mental State Examination (MMSE) and MoCA-B (21 ≤ MoCA-B score < 26, and MMSE score > 24 were diagnosed with MCI)60 ,61 (link).
Participants with brain tumors (n = 3), neuropsychiatric diseases (n = 4) (e.g., major depression or schizophrenia), or developmental disorders (n = 4) were excluded. Finally, 37 patients with T2DM-MCI, 93 patients with T2DM-NCI, and 69 NC were enrolled in this study. The source of patients with T2DM and NC corresponded with our previous study37 (link). This study was approved by the ethics committee of The First Affiliated Hospital of Guangzhou University of Chinese Medicine (ID: NO. JY [2020] 288). Written informed consent was obtained from all participants. In addition, the study was conducted following approved guidelines.
Publication 2023
Asthenia Blindness Blood Glucose Brain Brain Neoplasms Cerebral Infarction Chinese Chronic Infection Cognition Congenital Abnormality Craniocerebral Trauma Developmental Disabilities Diabetes Mellitus, Insulin-Dependent Drug Abuse Endocrine System Diseases Endocrinologists Ethanol Ethics Committees, Clinical Eye Disorders Glucose Head Hemorrhage High Blood Pressures Hyperlipidemia Hypoglycemia Major Depressive Disorder Memory Migraine Disorders Mini Mental State Examination MRI Scans Nervous System Abnormality Nervous System Disorder Patients Pharmaceutical Preparations Physical Examination Psychotropic Drugs Schizophrenia Tobacco Products

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Publication 2023
Antibiotics Cefixime Common Cold COVID 19 Cystitis Diagnosis Fluoroquinolones Patients Prescriptions Psychotropic Drugs Therapeutics

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More about "Psychotropic Drugs"

Psychoactive Substances, Central Nervous System Drugs, Neuropharmaceuticals, Psychopharmaceuticals, Psychoactive Medications, Neuropsychiatric Medications, Mood-Altering Drugs, Psychiatric Pharmaceuticals, Behaviorally Active Agents.
Psychotropic drugs are a diverse class of medications that exert their effects on the central nervous system, influencing mood, cognition, perception, and behavior.
These substances are commonly used to treat a variety of mental health conditions, including depression, anxiety, psychosis, and substance abuse disorders.
Psychotropic drugs work by modulating the activity of key neurotransmitters in the brain, such as serotonin, dopamine, and norepinephrine.
The subclasses of psychotropic drugs include antidepressants, antipsychotics, anxiolytics, mood stabilizers, and stimulants.
Proper use of these medications, under the guidance of a qualified healthcare provider, can help many individuals manage their mental health challenges and improve their quality of life.
However, the use of psychotropic drugs requires caution due to the potential for side effects and the risk of dependence or abuse.
Researchers studying the effects and applications of psychotropic drugs play a vital role in advancing our understanding and improving treatment options for those in need.
Advanced statistical software like SAS version 9.4, SPSS version 22.0, Stata version 13, and SPSS version 25 are often utilized in psychotropic drug research to analyze complex data and inform clinical decisions.
By leveraging the power of AI-driven protocol optimization tools like PubCompare.ai, researchers can enhance the reproducibility and accuracy of their psychotropic drug studies, leading to more robust and impactful findings.