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.

Dose (pharmacology)55
Set (mindset)+20
Setting (context)+10
adverseeuphoricneutral
With this dose, mindset, and context, the model predicts a mildly positive, pleasant experience (valence +19). Note that the dose slider alone cannot move the marker far from neutral: with set and setting both at zero the drug has no valence of its own to amplify. This is Zinberg’s point — the pharmacology is one input of three, not the author of the experience.

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.

Valence (avoid / approach)+35
Source (social / internal)+30
internal sourcesocial sourceavoid negativeapproach positiveEnhancementSocialConformityCoping
This occasion expresses a enhancement motive: using to amplify a positive internal state (for the feeling itself); predicts heavier, more solitary use. The four motives are not traits but reasons that can shift occasion to occasion; the same person may drink socially at a wedding and to cope the following week.

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.

Alcohol
Users (per 1,000)820
Dependence risk15%
Cannabis
Users (per 1,000)420
Dependence risk9%
Cocaine
Users (per 1,000)160
Dependence risk17%
Alcohol123Cannabis38Cocaine27
Riskiest per user: Cocaine (17%) > Alcohol (15%) > Cannabis (9%).
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.