Mason Natural

Melatonin 3 mg

F
N+ Score52
Sleep & RecoveryServing: 1 Tablet(s)Type: Other Combinations

Melatonin 3 mg by Mason Natural is a Sleep & Recovery supplement containing 3 ingredients, primarily focused on sleep support. It provides Melatonin at 3mg, a commonly studied dosage for sleep regulation. Notably, Vitamin B6 is included at a clinical dose of 1mg, which research suggests may play a role in neurotransmitter synthesis. However, Calcium is present at an underdosed level of 55mg, which may not contribute significantly to its intended purpose. This product received an N+ Score of 52, earning an F grade, placing it in the below-average tier due to its overall formulation and ingredient balance. It may be suitable for those looking for a basic melatonin supplement with added B6.

About This Product

Melatonin 3 mg by Mason Natural is a sleep & recovery supplement containing 3 active ingredients. It has earned an N+ Score of 52/100 (Grade F).

Notable clinical-dose ingredients include Vitamin B6.

N+ Score Breakdown

Ingredient Adequacy25/100

Are key ingredients present at clinically effective doses based on research?

Formula Completeness25/100

Does the product include all expected ingredients for its supplement category?

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity83/100

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

  • Several ingredients below clinically effective doses
  • Missing several expected ingredients for its category

Ingredient Analysis (3 ingredients)

IngredientAmountDose Adequacy
Vitamin B61.000 mgAdequate
Calcium55.000 mgUnder
Melatonin3.000 mgN/A

Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.