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Prescribing Psychostimulants for the Treatment of Stimulant Use Disorder: Navigating the Federal Legal Landscape.
J Addict Med
January 2025
From the Division of General Internal Medicine, San Francisco General Hospital, Department of Medicine, University of California San Francisco, San Francisco, CA (LWS); San Francisco Department of Public Health, San Francisco, CA (POC); Vital Strategies, New York, NY (KB, DC); Network for Public Health Law, Edina, MN (CSD); and New York University Grossman School of Medicine, New York, NY (CSD).
Stimulant use disorder (StUD) is a rapidly growing concern in the United States, with escalating rates of death attributed to amphetamines and cocaine. No medications are currently approved for StUD treatment, leaving clinicians to navigate off-label medication options. Recent studies suggest that controlled prescription psychostimulants such as dextroamphetamine, methylphenidate, and modafinil are associated with reductions in self-reported stimulant use, craving, and depressive symptoms.
View Article and Find Full Text PDFEvaluation of drug prescribing pattern based on World Health Organization drug use indicators in dermatology outpatient department of Injibara General Hospital, Northwest Ethiopia, 2024.
Front Med (Lausanne)
January 2025
Ethiopian Statistical Services, Bahirdar, Ethiopia.
Background: Irrational use of medicines is a problem globally that soon needs to be addressed. According to estimates from the World Health Organization, almost half of all medications were improperly prescribed. This study aimed to assess the drug prescribing patterns based on World Health Organization drug use indicators in the dermatology outpatient department of Injibara General Hospital.
View Article and Find Full Text PDFOptimal Machine Learning Models for Developing Prognostic Predictions in Patients With Advanced Cancer.
Cureus
December 2024
Mathematics, Keio University, Yokohama, JPN.
Context: Accurate prognosis prediction for cancer patients in palliative care is critical for clinical decision-making and personalized care. Traditional statistical models have been complemented by machine learning approaches; however, their comparative effectiveness remains underexplored.
Objectives: To assess the prognostic accuracy of statistical and machine learning models in predicting 30-day survival in patients with advanced cancer using objective data, such as the result of the blood test.
Adult-Onset Pediatric-Type Follicular Lymphoma of the Parotid Gland.
Cureus
December 2024
Biomedical Sciences, University of Chicago, Chicago, USA.
Pediatric-type follicular lymphoma (PTFL) is an extremely rare B-cell lymphoma that primarily affects children and young adults, typically in individuals under 25 years old, with a median age of 15 years. Here, we report a rare case of PTFL in a 27-year-old adult male who presented with a slow-growing mass near his left ear. Initial CT scans of the neck revealed two oval-shaped, smooth, well-defined, homogeneously enhancing soft tissue density lesions in the superficial lobe of the left parotid gland.
View Article and Find Full Text PDFProtocol for the systematic review of age and sex in preclinical models of age-correlated diseases.
F1000Res
January 2025
German Centre for the Protection of Laboratory Animals (Bf3R), German Federal Institute for Risk Assessment (BfR), Berlin, Berlin, Germany.
The translation of animal-based biomedical research into clinical research is often inadequate. Maximizing translation should be central to animal research on human diseases, guiding researchers in study design and animal model selection. However, practical considerations often drive the choice of animal model, which may not always reflect key patient characteristics, such as sex and age, impacting the disease's course.
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