Interactive: drug, set, and setting
The same drug at the same dose can produce opposite experiences. Raise the dose and the effect gets stronger — but whether “stronger” means euphoria or panic is set by the user’s mindset (set) and the physical and social context (setting). Push the dose up with set and setting hostile, and watch the experience worsen rather than improve.
Interactive: the four-factor motive map
Cooper’s model crosses the valence of the sought outcome (avoiding a negative state vs. approaching a positive one) with its source (social vs. internal) to give four motives. Move the marker and read which motive the occasion expresses — and the use pattern that motive tends to predict.
Interactive: per-user risk vs. population burden
Expected dependent users = people who use × the conditional probability of dependence among users. Adjust either lever for each drug and watch the two rankings — riskiest per user, and most dependence overall — pull apart. The defaults reproduce the worked example’s cohort of 1,000.
Most dependence overall: Alcohol (123) > Cannabis (38) > Cocaine (27). The two rankings disagree: the drug with the highest per-user risk is not the one that produces the most dependent people, because prevalence, not just risk, drives the total.