Manitoba Harvest

Hemp Pro 70 Original

F
N+ Score36
Joint & BoneServing: 2 TbspType: Other Combinations

Manitoba Harvest Hemp Pro 70 Original is classified as a Joint & Bone supplement, primarily functioning as a protein source with 20 grams of protein per serving. This product contains 10 ingredients, including fiber, healthy fats, and some vitamins and minerals like Iron (25% DV) and Calcium (4% DV). Despite providing a good protein yield, the N+ Score of 36 and an 'F' grade indicate a poor overall quality assessment, potentially due to the lack of clinically dosed ingredients specifically for joint and bone health. While a decent protein option, its efficacy for targeted joint and bone support is not strongly supported by its formulation. It may be suitable for those seeking a plant-based protein with general nutritional content.

About This Product

Hemp Pro 70 Original by Manitoba Harvest is a joint & bone supplement containing 10 active ingredients. It has earned an N+ Score of 36/100 (Grade F).

N+ Score Breakdown

Ingredient Adequacy0/100

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 Transparency50/100

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

  • +Broad ingredient diversity exceeding category norms

Weaknesses

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

Ingredient Analysis (10 ingredients)

IngredientAmountDose Adequacy
Calories140.000 {Calories}N/A
Vitamin A—N/A
Vitamin C—N/A
Calcium—N/A
Iron—N/A
Sodium30.000 mgN/A
Cholesterol—N/A
Protein20.000 Gram(s)N/A
Carbohydrates4.500 Gram(s)N/A
Fat4.500 Gram(s)N/A

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