Antipsychotic Abuse, Dependence, and Withdrawal in the Pediatric Population: A Real-World Disproportionality Analysis

Multiomic Network Analysis Identifies Dysregulated Neurobiological Pathways in Opioid Addiction

BACKGROUND

Opioid addiction is a worldwide public health crisis. In the United States, for example, opioids cause more drug overdose deaths than any other substance. However, opioid addiction treatments have limited efficacy, meaning that additional treatments are needed.

METHODS

To help address this problem, we used network-based machine learning techniques to integrate results from genome-wide association studies of opioid use disorder and problematic prescription opioid misuse with transcriptomic, proteomic, and epigenetic data from the dorsolateral prefrontal cortex of people who died of opioid overdose and control individuals.

RESULTS

We identified 211 highly interrelated genes identified by genome-wide association studies or dysregulation in the dorsolateral prefrontal cortex of people who died of opioid overdose that implicated the Akt, BDNF (brain-derived neurotrophic factor), and ERK (extracellular signal-regulated kinase) pathways, identifying 414 drugs targeting 48 of these opioid addiction-associated genes. Some of the identified drugs are approved to treat other substance use disorders or depression.

CONCLUSIONS

Our synthesis of multiomics using a systems biology approach revealed key gene targets that could contribute to drug repurposing, genetics-informed addiction treatment, and future discovery.

Trends and off-label utilization of antipsychotics in children and adolescents from 2016 to 2021 in China: a real-world study

BACKGROUND

Global antipsychotic usage, including off-label prescriptions, has increased in recent decades. However, trends in China, particularly for children and adolescents, remain unclear. This study explored these trends from 2016 to 2021 and identified factors associated with off-label prescriptions.

METHODS

In this retrospective study, we analyzed on-label and off-label prescriptions based on drug information approved by the China National Medical Products Administration. To identify factors associated with off-label prescriptions, we conducted multivariate logistic regression analysis.

RESULTS

Our study included 48,258 antipsychotic prescriptions, 52.4% (25,295) of which were prescriptions for males. Of these, 61.7% (29,813) were off-label. Over time, the number of antipsychotics and the percentage of off-label prescriptions for children and adolescents overall increased from 2016 to 2021. The use of atypical antipsychotics increased, whereas that of typical antipsychotics decreased. For off-label usage, all of the factors in our study were associated with off-label usage, including age, sex, year, region, department, reimbursement, antipsychotic type, drug expense, number of polypharmacy and diagnoses. Additionally, tiapride (15.8%) and aripiprazole (18.6%) were the most common typical and atypical antipsychotics, respectively. For pediatric diseases, common diagnoses included mood or affective disorders (31.7%) and behavioral and emotional disorders, with onset usually occurring in childhood and adolescence (29.1%). Furthermore, a depressive state was the most common diagnosis for which antipsychotic polypharmacy was used for treatment.

CONCLUSION

In this retrospective study, off-label antipsychotic prescriptions were common, with trends generally increasing among children and adolescents from 2016 to 2021. However, there is a lack of evidence supporting off-label usage, thus emphasizing the need for studies on the efficacy and safety of these treatments.

Cardiac and metabolic safety profile of antipsychotics in youths: A WHO safety database analysis

A significant heterogeneity prevails in antipsychotics (APs) safety monitoring recommendations. Youths are deemed more vulnerable to cardiometabolic side effects. We aimed to assess age-dependent reporting of cardiac and metabolic disorders in youths, relying on the WHO safety database (VigiBase®). VigiBase® was queried for all reports of cardiac, glucose, lipid and nutritional disorders involving APs. Patients <18 years were classified as pediatric population. Disproportionality analyses relied on the Information Component (IC): the positivity of the lower end of its 95 % confidence interval was required to suspect a signal. We yielded 4,672 pediatric reports. In disproportionality analysis, nutritional disorders were leading in youths (IC 3.9 [3.9-4.0]). Among healthcare professionals' reports, stronger signals were detected in youths than in adults. Children had the greatest signal with nutritional disorders (IC 4.7 [4.6-4.8]). In adolescents, aripiprazole was ascribed to non-alcoholic steatohepatitis (NASH). Our findings, based on real-world data, support the hypothesis of a greater propensity for nutritional disorders in youths, despite limitations of pharmacovigilance studies. We suggest specific safety profiles, such as aripiprazole and NASH. Pending more answers from population-based studies, a careful anamnesis should seek for risk factors before AP initiation. A cautious monitoring is warranted to allow earlier identification of side effects.

The Neuropsychiatric Safety Profile of Lasmiditan: A Comparative Disproportionality Analysis with Triptans

Migraine constitutes the world's second-leading cause of disability. Triptans, as serotonin 5-HT1B/1D receptor agonists, remain the first-line treatment, despite discouraged use in individuals at high cardiovascular risk. Lasmiditan, a selective lipophilic 5-HT1F agonist without vasoconstrictive effects, is an emerging option. We aimed to investigate the safety profile of lasmiditan in the WHO pharmacovigilance database (VigiBase®) using a comparative disproportionality analysis with triptans. VigiBase® was queried for all reports involving lasmiditan and triptans. Disproportionality analyses relied on the calculation of the information component (IC), for which 95% confidence interval (CI) lower bound positivity was required for signal detection. We obtained 826 reports involving lasmiditan. Overall, 10 adverse drug reaction classes were disproportionately reported with triptans, while only neurological (IC 1.6; 95% CI 1.5-1.7) and psychiatric (IC 1.5; 95% CI 1.3-1.7) disorders were disproportionately reported with lasmiditan. Sedation, serotonin syndrome, euphoric mood, and autoscopy had the strongest signals. When compared with triptans, 19 out of 22 neuropsychiatric signals persisted. The results of our analysis provide a more precise semiology of the neuropsychiatric effects of lasmiditan, with symptoms such as autoscopy and panic attacks. The cardiovascular adverse drug reaction risk with triptans was confirmed. In contrast, caution is warranted with lasmiditan use in patients with neurological or psychiatric comorbidities or serotonin syndrome risk. Our study was hindered by pharmacovigilance flaws, and further studies should help in validating these results. Our findings suggest that lasmiditan is a safe alternative for migraine treatment, especially when the neuropsychiatric risk is outweighed by the cardiovascular burden.