Solgar

Megasorb B-Complex "50"

C+
N+ Score76
Collagen & BeautyServing: 1 Tablet(s)Type: Other Combinations

Solgar Megasorb B-Complex "50" provides a blend of B vitamins, including Thiamine, Riboflavin, and Niacin. This formula is designed to deliver essential B vitamins. It has an N+ Score of 76.

About This Product

Megasorb B-Complex "50" by Solgar is a collagen & beauty supplement containing 12 active ingredients. It has earned an N+ Score of 76/100 (Grade C+).

This product features a fully transparent label with individual ingredient amounts disclosed, and key ingredients are present at clinically effective doses based on peer-reviewed research.

Notable clinical-dose ingredients include Thiamine, Riboflavin, Niacin and 5 more.

N+ Score Breakdown

Ingredient Adequacy80/100

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

Formula Completeness33/100

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

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity100/100

Does the formula include a breadth of beneficial compounds from multiple pathways?

Strengths

  • +Key ingredients at clinically effective doses
  • +Fully transparent label with individual ingredient amounts disclosed
  • +Broad ingredient diversity exceeding category norms
  • +8 ingredient(s) at clinical dose levels
  • +Rich formula with 12 active ingredients

Weaknesses

  • Missing several expected ingredients for its category

Ingredient Analysis (12 ingredients)

IngredientAmountDose Adequacy
Thiamine50.000 mgOptimal
Riboflavin55.000 mgOptimal
Niacin50.000 mgHigh
Vitamin B655.000 mgOptimal
Vitamin B1250.000 mcgOptimal
Biotin50.000 mcgOptimal
Pantothenic Acid55.000 mgOptimal
Choline21.000 mgUnder
Magnesium24.000 mgUnder
Folic Acid400.000 mcgOptimal
Inositol50.000 mgN/A
Soy Lecithin50.000 mgN/A

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