Use of a Personalized Clinical Decision Support System for Dosing in Psychopharmacotherapy in Patients with Alcoholic Hallucinosis Based on Pharmacogenomic Markers.

Introduction: Alcoholic hallucinosis (AH) is one of the severe complications of chronic alcoholism, characterized by psychotic symptoms such as auditory hallucinations and delusions. Haloperidol is widely used to treat AH; however, its therapy is often complicated by side effects. A personalized approach using pharmacogenetic testing (particularly the CYP2D6 polymorphism) allows individualization of haloperidol dosage, improving both safety and efficacy of therapy.

Relationship of Single Nucleotide Polymorphism to the Efficiency and Safety Profiles of Haloperidol in Patients Enduring Acute Alcoholic Hallucinosis.

Unlabelled: To date, haloperidol has been widely used to treat patients with acute alcoholic hallucinosis. There is strong evidence that haloperidol therapy is commonly associated with adverse drug reactions (ADRs). The 392A > polymorphism of the * gene (rs2740574) is known to affect the metabolism rates of haloperidol; hence it correlates with both therapy efficacy and safety parameters.

Relationship of the > Polymorphism of the Gene to the Equilibrium Concentration Levels of Haloperidol in Patients with Acute Alcoholic Hallucinosis.

Unlabelled: Haloperidol is currently used in addictology for the treatment of acute psychotic disorders, including acute alcoholic hallucinosis. The use of haloperidol is often accompanied by the occurrence of adverse drug reactions (ADRs). There is evidence that CYP2D6 isoenzyme is involved in the biotransformation of haloperidol.

Climate warming enhances chemical weathering in permafrost-dominated eastern Siberia.

Understanding the impacts of climate warming on hydrogeochemical processes, particularly in areas dominated by permafrost, is crucial. However, the natural background levels of chemical components in eastern Siberian rivers from permafrost-dominated regions and their responses to climate warming have not been adequately quantified. This study aims to address this knowledge gap by using a comprehensive river water chemistry database (n = 1264) spanning from 1940 to 2019.