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'High' Risk: Weed/Data

From RiskiPedia

This subpage contains the data and risk models for the main 'High' Risk: Weed page. The data is synthesized from major public health reports and peer-reviewed studies to provide risk estimates based on user choices.

Baseline Factors

Method of Consumption

'High' Risk: Weed/Data:MethodFactor
Method_Description Method_IsSmoked Method_IsVaped Method_IsEdible

Smoking (joint, pipe, bong)

1

0

0

Vaping (flower or oil)

0

1

0

Edibles (gummies, baked goods, drinks)

0

0

1

This choice determines which risks are relevant. For example, respiratory risks apply to smoking and vaping but not edibles.

Frequency of Consumption

'High' Risk: Weed/Data:FrequencyFactor
Frequency_Description Frequency_CUD_Multiplier Frequency_Psychosis_Multiplier Bronchitis_Smoking_OR Bronchitis_Vaping_OR

Rarely (a few times per year)

1

1

1.0

1.0

Occasionally (1-3 times per month)

2

1.2

1.5

1.1

Regularly (1-3 times per week)

4

2

2.5

1.3

Daily or Near-Daily

5.5

5

3.5

1.7

This data provides multipliers for long-term risks based on frequency of use. Daily use dramatically increases risk for Cannabis Use Disorder (CUD), psychosis, and chronic bronchitis symptoms. The odds ratio (OR) for bronchitis from vaping is significant but substantially lower than for smoking.

Your Age

'High' Risk: Weed/Data:AgeFactor
Age_Description Age_CUD_Multiplier Age_Cognition_Impact

Under 18

4

High

18-25

1.5

Moderate

26+

1

Low

This data provides a risk multiplier based on age, primarily for CUD and long-term cognitive effects. The adolescent brain (<18) is significantly more vulnerable to the effects of THC.

Typical Potency

'High' Risk: Weed/Data:PotencyFactor
Potency_Description Potency_Psychosis_Multiplier

Standard Potency (Traditional flower, ~10-15% THC)

1

High Potency (Concentrates, "dabs," most vapes, >20% THC)

3

This data provides a risk multiplier for acute psychosis based on the potency of the product consumed. High-potency products are linked to a significantly higher risk of triggering psychotic symptoms.

Edible Dose (if applicable)

'High' Risk: Weed/Data:EdibleDoseFactor
EdibleDose_Description EdibleDose_AcuteRisk_Multiplier

Low Dose (2.5mg - 5mg THC)

1

Standard Dose (10mg THC)

3

High Dose (25mg+ THC)

10

This data provides a risk multiplier for acute, short-term negative outcomes (e.g., severe panic attack, paranoia, ER visit) when consuming edibles. Risk increases dramatically with dose.

Risk Models

Short-Term Risk: Impaired Driving

  RiskModel: 'High' Risk: Weed/Data:DrivingRisk
    Content: 
When driving under the influence of cannabis, your risk of a motor vehicle crash is approximately '''doubled'''.

Calculation: This is a general finding from numerous meta-analyses. The average relative risk for a motor vehicle crash after cannabis use is consistently found to be around 2.0.

Short-Term Risk: Acute Psychotic Episode

  RiskModel: 'High' Risk: Weed/Data:PsychosisRisk
    Content: 
{{#ifexpr: {Method_IsEdible} = 1
|Based on your selections, your risk of experiencing a temporary but severe negative outcome (e.g., extreme paranoia, psychosis) from this edible is {{One_In_X|{{#expr: 0.005 * {Frequency_Psychosis_Multiplier} * {Potency_Psychosis_Multiplier} * {EdibleDose_AcuteRisk_Multiplier} }} }}.
|Based on your selections, your risk of experiencing a temporary psychotic episode from this use is {{One_In_X|{{#expr: 0.005 * {Frequency_Psychosis_Multiplier} * {Potency_Psychosis_Multiplier} }} }}.
}}

Calculation: The baseline risk of a first-time psychotic episode is low (~0.5%). This model multiplies that baseline by factors for frequency and potency. For edibles, the dose is the most critical factor and further multiplies the risk.

Long-Term Risk: Cannabis Use Disorder (Addiction)

  RiskModel: 'High' Risk: Weed/Data:CUDRisk
    Content: 
Based on your age and frequency of use, your lifetime risk of developing Cannabis Use Disorder (addiction) is about {{One_In_X|{{#expr: 0.05 * {Frequency_CUD_Multiplier} * {Age_CUD_Multiplier} }} }}.

Calculation: This model starts with a baseline risk of 5% for a rare, adult user. This risk is then multiplied by factors for frequency of use and age of onset. The risk is highest for young, daily users.

Long-Term Risk: Chronic Bronchitis

  RiskModel: 'High' Risk: Weed/Data:BronchitisRisk
    Content: 
{{#ifexpr: {Method_IsSmoked} = 1
|The lifetime risk of chronic bronchitis symptoms for a non-user is about '''1 in 12'''. Based on your frequency of smoking, your risk is '''{{One_In_X|{{#expr: 0.08 * {Bronchitis_Smoking_OR} }} }}'''.
|{{#ifexpr: {Method_IsVaped} = 1
|The lifetime risk of chronic bronchitis symptoms for a non-user is about '''1 in 12'''. Based on your frequency of vaping, your risk is '''{{One_In_X|{{#expr: 0.08 * {Bronchitis_Vaping_OR} }} }}'''.
|This risk is not associated with edibles.
}}}}

Calculation: This model starts with a baseline lifetime prevalence of chronic bronchitis symptoms in non-smokers/vapers of 8% (a 1 in 12.5 chance). It then applies the appropriate Odds Ratio (OR) multiplier based on your chosen method and frequency to calculate your absolute risk. While vaping is not risk-free, the risk of bronchitis is substantially lower than with smoking.

Long-Term Risk: Schizophrenia (Controversial Link)

  RiskModel: 'High' Risk: Weed/Data:SchizophreniaRiskMin
    Content: 
''The Scientific Debate (Minimalist View):'' The link between cannabis and schizophrenia may be a correlation, not a cause. From this perspective, your risk is '''not significantly increased''' from the general population baseline of about a '''1 in 100''' lifetime risk.

  RiskModel: 'High' Risk: Weed/Data:SchizophreniaRiskMax
    Content: 
''The Scientific Debate (Maximalist View):'' For individuals with a pre-existing vulnerability, cannabis use can act as a trigger. Based on your inputs, your lifetime risk could be elevated to {{One_In_X|{{#expr: 0.01 * {Frequency_Psychosis_Multiplier} * {Potency_Psychosis_Multiplier} }} }}.

Calculation: This presents two models to reflect the scientific debate. The Minimalist view holds that the risk is unchanged from the population baseline (1%). The Maximalist view calculates an elevated risk for vulnerable individuals, starting with the baseline risk and applying multipliers for high-frequency and high-potency use, which some studies suggest can increase the relative risk up to 5-fold.


Initially created by Gemini.