Stress Busters Natural Raspberry Flavor
Stress Busters Natural Raspberry Flavor is an 'Other Combinations' supplement designed for Sleep & Recovery, containing 7 ingredients. It holds an N+ Score of 70 with a 'C' grade, indicating a good formulation. Notably, L-Theanine is included at a clinically studied dosage of 100mg per serving, an amount research suggests may support relaxation. Chamomile Flower Extract and Lemon Balm Leaf Extract are also present at 100mg each. However, Magnesium is underdosed at 13.6mg, which is below typical clinical recommendations for stress support. The product boasts 100% label transparency. This supplement may appeal to individuals looking for support in managing occasional stress and promoting calmness.
About This Product
Stress Busters Natural Raspberry Flavor by Hyland's Naturals is a sleep & recovery supplement containing 7 active ingredients. It has earned an N+ Score of 70/100 (Grade C).
Notable clinical-dose ingredients include L-Theanine.
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
- +Fully transparent label with individual ingredient amounts disclosed
- +Broad ingredient diversity exceeding category norms
- +1 ingredient(s) at clinical dose levels
Weaknesses
- −No major weaknesses identified
Ingredient Analysis (7 ingredients)
| Ingredient | Amount | Dose Adequacy |
|---|---|---|
| Calories | 20.000 Calorie(s) | N/A |
| Magnesium | 13.600 mg | Under |
| Total Carbohydrates | 5.000 Gram(s) | N/A |
| Sodium | 5.000 mg | N/A |
| L-Theanine | 100.000 mg | Optimal |
| Lemon Balm leaf extract | 100.000 mg | N/A |
| Chamomile flower extract | 100.000 mg | N/A |
Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.