Alpha Brain Instant Drink Mix Natural Peach Flavor
Onnit Alpha Brain Instant Drink Mix supports cognitive function with a blend of vitamins, amino acids, and botanical extracts. It's designed for individuals seeking to enhance focus, memory, and mental processing. Key ingredients include Bacopa, L-Theanine, and Phosphatidylserine.
About This Product
Alpha Brain Instant Drink Mix Natural Peach Flavor by Onnit is a longevity & nad+ supplement containing 16 active ingredients. It has earned an N+ Score of 35/100 (Grade F).
Notable clinical-dose ingredients include Vitamin B6.
N+ Score Breakdown
Are key ingredients present at clinically effective doses based on research?
Does the product include all expected ingredients for its supplement category?
Are individual ingredient amounts clearly disclosed without proprietary blends?
Does the formula include a breadth of beneficial compounds from multiple pathways?
Strengths
- +Broad ingredient diversity exceeding category norms
- +1 ingredient(s) at clinical dose levels
- +Rich formula with 16 active ingredients
Weaknesses
- −Several ingredients below clinically effective doses
- −Missing several expected ingredients for its category
- −Proprietary blends hide individual ingredient amounts
Ingredient Analysis (16 ingredients)
| Ingredient | Amount | Dose Adequacy |
|---|---|---|
| Vitamin B6 | 10.000 mg | Optimal |
| L-Theanine | — | N/A |
| L-Tyrosine | — | N/A |
| L-Leucine | — | N/A |
| Black Pepper (fruit) extract | — | N/A |
| Vinpocetine | — | N/A |
| Phosphatidylserine | — | N/A |
| Cat's Claw bark extract | 350.000 mg | N/A |
| Pterostilbene | — | N/A |
| Bacopa (aerial parts) extract | — | N/A |
| L-Alpha Glycerylphosphorylcholine | — | N/A |
| Onnit Flow Blend | 1150.000 mg | N/A |
| Onnit Focus Blend | 240.000 mg | N/A |
| Onnit Fuel Blend | 71.000 mg | N/A |
| Oat (straw) extract | — | N/A |
| Huperzia serrata (aerial parts) extract | — | N/A |
Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.