Probulin

Women's Health Probiotic 20 Billion CFU

F
N+ Score52
ProbioticsServing: 1 Capsule(s)Type: Other Combinations

Probulin Women's Health Probiotic 20 Billion CFU is a probiotic supplement formulated with three total ingredients, including a proprietary Women's Health Probiotic Blend and 100mg of Inulin. The N+ Score for this product is 52, earning it an 'F' grade and placing it in the below-average tier. While probiotics are commonly used to support digestive health and, in some cases, women's specific health concerns, the proprietary blend does not disclose individual strain dosages, making it challenging to determine if any specific probiotic strains are present at clinically studied levels. The 100mg of Inulin is a prebiotic fiber, but its dosage here is relatively low compared to amounts often used in research. This product may appeal to individuals seeking a general probiotic with added prebiotic fiber, but the lack of detailed ingredient transparency limits a full assessment of its potential benefits.

About This Product

Women's Health Probiotic 20 Billion CFU by Probulin is a probiotics supplement containing 3 active ingredients. It has earned an N+ Score of 52/100 (Grade F).

N+ Score Breakdown

Ingredient Adequacy50/100

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 Transparency67/100

Are individual ingredient amounts clearly disclosed without proprietary blends?

Ingredient Diversity65/100

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

Strengths

  • +Product data available for comparison

Weaknesses

  • Missing several expected ingredients for its category

Ingredient Analysis (3 ingredients)

IngredientAmountDose Adequacy
Sodium11.000 mgN/A
Inulin100.000 mgN/A
Women's Health Probiotic BlendN/A

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