Using Machine Learning to Identify Unique Predictors of Alcohol and Cannabis Impaired Driving
Machine learning impaired driving predictors reveal new risk factors for alcohol and cannabis use among young adults. This study highlights unique insights beyond traditional methods. Understanding these predictors can enhance clinical screening and…
Cannabis Use Is Common in Young Lung Cancer Patients and Linked to More Aggressive Disease
Cannabis dual smoking lung cancer is increasingly common among young patients. Dual cannabis-tobacco smokers show more aggressive disease and worse pulmonary function than tobacco-only smokers. This study highlights the clinical significance of cannabis…
The brain remembers: The hidden cost of young adult substance use
Young adult substance use impacts brain development during a critical period up to age 25. This research reveals lasting neurobiological changes that affect cognitive function. Understanding these hidden costs is essential for age-specific risk…
Nearly 4 in 10 Young Lung Cancer Patients Also Smoked Cannabis—and Their Cancers Were More Aggressive
Cannabis tobacco dual smoking lung cancer is linked to more aggressive tumors in young patients. A French cohort study found nearly 4 in 10 young lung cancer patients smoked both substances. This dual smoking group showed earlier diagnosis and higher…
Exploring Endocannabinoid System Research in Digital Mental Health
This article discusses how endocannabinoid system research meets digital mental health through a randomized controlled trial of the Minder app. The study highlights cannabis-related mental health support for university students. Digital tools offer…
