Natural Factors

HerbalFactors Cranberry Concentrate 36:1

F
N+ Score45
Vitamins & MineralsServing: 1 Capsule(s)Type: Botanical

Natural Factors HerbalFactors Cranberry Concentrate 36:1 is a botanical supplement containing 250 mg of cranberry powdered concentrate per capsule, standardized to a 36:1 ratio. This product offers 100% label transparency, clearly stating its single active ingredient. With an N+ Score of 45 and a grade of F, it is categorized as below-average, suggesting that while the ingredient is present, its dosage or formulation may not align with optimal efficacy standards. Research suggests cranberry concentrate is commonly used to support urinary tract health, but this specific product does not feature any ingredients at clinically studied doses. This supplement might appeal to those looking for a simple cranberry option, but its low N+ Score indicates potential for a more robust formulation.

About This Product

HerbalFactors Cranberry Concentrate 36:1 by Natural Factors is a vitamins & minerals supplement containing 1 active ingredients. It has earned an N+ Score of 45/100 (Grade F).

N+ Score Breakdown

Ingredient Adequacy50/100

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

Formula Completeness0/100

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

Label Transparency100/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity36/100

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

Strengths

  • +Fully transparent label with individual ingredient amounts disclosed

Weaknesses

  • Missing several expected ingredients for its category
  • Limited ingredient diversity compared to category norms

Ingredient Analysis (1 ingredients)

IngredientAmountDose Adequacy
Cranberry (Vaccinium macrocarpon) powdered concentrate 36:1250.000 mgN/A

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