X Epidemiology of Cannabis Genotoxicity, Neurotoxicity, Epigenomics and Aging

idemiology of Cannabis: Genotoxicity, Neurotoxicity, Epigenomics and Aging offers a groundbreaking and integrative assessment of the long-term health implications of cannabis use through the lens of advanced epidemiological and molecular methodologies. Focusing on five high-impact domains—mental health, pediatric autism, congenital anomalies, cancers, and aging—the book draws connections between cannabis exposure and its potential influence on public health trends and chronic disease burdens at the population level.

Uniquely combining genotoxic, neurotoxic, and epigenomic frameworks, this text evaluates how cannabis may influence genetic integrity, brain development, disease risk, and biological aging. Using cutting-edge analytical tools, including geospatial space–time modeling and advanced statistical techniques, it moves beyond individual studies to uncover broader patterns of harm and associations across space and time.

Designed for clinicians, researchers, policymakers, and educators, this authoritative reference provides essential insights for those working at the intersection of substance use, public health, and epidemiology. It is also highly relevant for inclusion in academic curricula and exam preparation for students and professionals in the health sciences.

Key Features:

•  In-Depth Review of Cannabis-Linked Neurotoxicity: Examines how cannabis use may affect neurodevelopment and mental health in both adults and pediatric populations.

•  Focus on Genotoxicity and Epigenomics: Discusses cannabis-associated DNA damage, heritable changes in gene expression, and potential links to congenital anomalies and cancer development.

•  Explores Pediatric and Prenatal Risks: Investigates associations between cannabis exposure during pregnancy and increased risks of autism spectrum disorders and birth defects.

•  Population Health Perspective: Connects individual-level data with macro trends in disease prevalence and public health outcomes across regions and timeframes.

•  Geospatial and Temporal Analytics: Utilizes advanced space–time modeling techniques to detect patterns of cannabis-related health impacts at the community and national levels.

•  Clinically and Scientifically Relevant: A critical tool for health professionals, regulatory bodies, public health researchers, and policy-makers concerned with cannabis regulation and its implications.

•  Educational Utility: Suitable for undergraduate and postgraduate coursework, particularly in fields like epidemiology, toxicology, neurology, and substance use policy.