How CanIStackThis Works

Discover how we analyze supplement combinations using AI to provide safety scores, interaction warnings, and dosage recommendations.

1. Supplement Database

We maintain a comprehensive database of supplements, their active compounds, and known interactions from scientific research and clinical studies.

2. AI Analysis

Our AI system analyzes supplement combinations to identify potential interactions, calculate safety scores, and provide personalized recommendations.

3. Safety Report

Receive detailed safety reports with interaction warnings, dosage recommendations, and personalized advice for your supplement stack.

Our Data Sources

Scientific Literature

  • PubMed & Peer-Reviewed Studies

    Clinical trials and research on supplement interactions

  • Natural Medicines Database

    Comprehensive supplement safety and efficacy data

  • Pharmacological Studies

    Drug-supplement and supplement-supplement interactions

Regulatory & Clinical Sources

  • FDA Safety Databases

    Adverse event reports and safety alerts

  • Clinical Guidelines

    Professional medical organization recommendations

  • Pharmacokinetic Data

    Absorption, metabolism, and excretion studies

How Safety Scores Are Calculated

Scoring Factors

Individual Supplement Safety+20-30 points
Dosage Appropriateness+10-20 points
Synergistic Effects+5-15 points
Known Interactions-15-40 points
Overdose Risk-20-50 points

Score Ranges

Safe (90-100)90+

Excellent combination with no significant concerns

Good (75-89)75-89

Generally safe with minor considerations

Caution (60-74)60-74

Some concerns, monitor carefully or adjust dosages

Unsafe (Below 60)<60

Significant interactions identified, avoid combination

Our AI Technology

Molecular Analysis

Analyzes chemical structures and active compounds to identify potential molecular interactions and metabolic pathways.

Dosage Optimization

Calculates optimal dosages based on bioavailability, absorption rates, and potential cumulative effects in combinations.

Interaction Prediction

Predicts potential interactions by analyzing enzyme pathways, receptor binding, and metabolic competition patterns.

Ensuring Data Accuracy

Quality Control Process

1
Scientific literature review and validation
2
Cross-referencing multiple research sources
3
Regular updates from clinical databases
4
AI model training on latest research

Continuous Improvement

Daily Updates

New research and safety alerts integrated daily

Weekly Model Refinement

AI models updated with latest interaction data

User Feedback Integration

Community reports reviewed and incorporated

Ready to Analyze Your Stack?

Use our AI-powered system to check your supplement combinations for safety. Get detailed interaction analysis and personalized recommendations.

Analyze Supplements