For the Culture By The Culture. ISSN: 3064-9331.
Cannabis is often labeled addictive, but the science tells a more precise story. This piece breaks down cannabis use disorder, how it is defined, and why mild, moderate, and severe cases get flattened into one fear-driven narrative. The result is a distorted public understanding of risk that fuels policy, perception, and misinformation.
Cannabis and mental health risks are often overstated in public debate. Research shows heavy use and high THC exposure can increase psychosis risk in vulnerable individuals, but widespread claims of a mental health crisis lack strong evidence. This piece examines the data, separates correlation from causation, and breaks down what cannabis users need to know.
Legal cannabis is often blamed for rising traffic deaths, but federal data tells a more complicated story. NHTSA findings, toxicology limitations, and conflicting crash studies reveal that THC presence is not a reliable measure of impairment. This investigation breaks down how flawed testing and policy shortcuts have shaped the narrative around so-called stoned driving.
For decades, politicians have claimed marijuana is a gateway to heroin and harder drugs. Federal youth surveys, NSDUH data, and NIDA’s own language tell a different story. Cannabis use is widespread, hard drug use remains rare, and most users do not progress. The data dismantles one of prohibition’s most durable fear narratives.
A new cannabis study claims marijuana does nothing for anxiety, depression, or PTSD. The reality is far more complicated. Decades of federal restrictions, limited research access, and synthetic substitutes have shaped the science. This breakdown exposes how incomplete data and selective interpretation continue to drive misleading headlines about cannabis and mental health.
A McMaster-led analysis of two Canadian mental health surveys is getting recycled as a weed panic story, even though the design can only show association. This piece breaks down what the data can actually support, what it cannot prove, and how headlines turn survey correlations into causal claims that fuel stigma, bad policy, and lazy coverage.
