Rankings/Nootropics/Thyroid Basics
DaVinci Laboratories Of Vermont

Thyroid Basics

NootropicsServing: 2 Capsule(s)Type: Botanical with Nutrients
N+ Score
B
80
Adequacy
35%
95
Completeness
25%
25
Transparency
20%
100
Diversity
20%
100

About This Product

Thyroid Basics by DaVinci Laboratories Of Vermont is a botanical and nutrient blend categorized as a Nootropic, designed to support general well-being. It achieves an N+ Score of 80, earning a solid 'B' grade, indicating a good quality product. This supplement contains 13 ingredients, with notable clinical doses for Vitamin B2 (5mg), Vitamin B6 (25mg), Folic Acid (500mcg), Iodine (225mcg), and Zinc (10mg), suggesting these key nutrients are adequately provided. The product boasts 100% label transparency and a high ingredient adequacy of 95%, ensuring consumers know exactly what they are taking. Research suggests ingredients like Iodine and L-Tyrosine are commonly used to support thyroid function, while Bacopa monnieri may support cognitive aspects. This product may be suitable for individuals seeking comprehensive support for metabolic and cognitive functions.

Strengths

  • +Key ingredients at clinically effective doses
  • +Fully transparent label with individual ingredient amounts disclosed
  • +Broad ingredient diversity exceeding category norms
  • +10 ingredient(s) at clinical dose levels
  • +Rich formula with 13 active ingredients

Weaknesses

  • Missing several expected ingredients for its category

Ingredient Analysis (13 ingredients)

IngredientAmountStatus
Vitamin B625.000 mgOptimal
Iodine225.000 mcgOptimal
Zinc10.000 mgOptimal
Selenium50.000 mcgAdequate
Copper500.000 mcgN/A
Manganese5.000 mgOptimal
Chromium50.000 mcgOptimal
Folic Acid500.000 mcgOptimal
Vitamin B25.000 mgOptimal
L-Tyrosine500.000 mgOptimal
Bacopa monnieri200.000 mgN/A
Commiphora Mukul Extract100.000 mgN/A
Coleus Forskohlii (ForsLean(R) Brand) Extract100.000 mgN/A

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