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🌿 Cannabis Use Disorder Risk Screening Simulator

This simulation helps in assessing the risk of developing a cannabis use disorder. It provides insights into factors that may contribute to addiction and aids healthcare professionals in identifying individuals who might benefit from early intervention.

Medical Cannabis Cannabinoid Pharmacology2DModerate60 FPS
cannabis-use-disorder-screening-simulator ↗ Open standalone

Cannabis User Intake for Use-Pattern Screening

Any regular user, recreational or medical, can be screened briefly.

  • CUDIT-R: Screening tools (short self-report scale)
  • Rec + Medical: Population (both use patterns screened)
  • 11: Criteria set (DSM-5-style items)
  • 5 min: Typical time (brief intake questionnaire)

Why screen every user

Short placeholder: routine screening catches early risk signals.

Recreational vs medical context

Short placeholder: both use patterns can meet disorder criteria.

Reviewing the DSM-5-Style Criteria Checklist

Eleven criteria are reviewed one by one against recent use history.

  • 11: Total criteria (full DSM-5 list)
  • Tolerance: Core symptoms (+ withdrawal, craving)
  • 6: Behavioral items (control & consequence items)
  • 12 mo: Window assessed (typical look-back period)

Physiological criteria

Short placeholder: tolerance and withdrawal reflect adaptation.

Behavioral & social criteria

Short placeholder: cutting down, craving, role failure, harm despite use.

Tallying Criteria into a Severity Classification

Counting endorsed criteria converts checklist answers into severity.

  • 0–1: None (criteria met)
  • 2–3: Mild (criteria met)
  • 4–5: Moderate (criteria met)
  • 6+: Severe (criteria met)

Threshold logic

Short placeholder: simple count thresholds set severity tier.

Clinical meaning

Short placeholder: higher tiers signal greater functional impact.

Layering Risk Factors onto the Severity Picture

Age of onset, frequency, and co-occurring conditions shift risk upward.

  • <18 yrs: Early onset (higher disorder risk)
  • Daily+: High frequency (heavier use pattern)
  • Anxiety/mood: Co-occurring (common comorbidity)
  • 3: Max risk factors (tracked in this model)

Age of first use

Short placeholder: earlier onset associates with steeper risk.

Frequency and comorbidity

Short placeholder: heavy use plus comorbidity compounds risk.

From Classification to Recommended Intervention

Severity plus risk factors together point to a care intensity level.

  • Brief: Mild + low risk (counseling / psychoeducation)
  • Outpatient: Moderate (structured program)
  • Intensive: Severe (structured treatment)
  • Escalate: Risk factors (push toward more support)

Matching care to severity

Short placeholder: intervention intensity tracks severity tier.

Risk-adjusted escalation

Short placeholder: accumulating risk factors bump the recommendation up.

⚙ Under the hood

This simulation helps in assessing the risk of developing a cannabis use disorder. It provides insights into factors that may contribute to addiction and aids healthcare professionals in identifying individuals who might benefit from early intervention.

CanvasBiomedicine

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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