Fluconazole Tablet
Product Images NDC 63629-9134

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 5 technical images submitted to the FDA as part of the official labeling for Fluconazole (NDC 63629-9134). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Bryant Ranch Prepack, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Structure (Image 01)

FDA Label Image

Male-female_calculations (Image 02)

Male-female_calculations (Image 02)
This text provides formulae for calculating the serum creatinine value for males and females based on their weight and age. For males, the formula is "weight (in kg) multiplied by (140 minus age) and then adding 535". For females, the formula is "weight (in kg) multiplied by (140 minus age) and then multiplying the result by 0.85". The value obtained from these formulae represents the serum creatinine value measured in grams per 100 liters of blood.*
FDA Label Image

K_calculation (Image 03)

K_calculation (Image 03)
This appears to be a table with two columns. The first column is labeled "linear length or height (cm)" and the second column is labeled "Serum creatinine (mg/100 mL)". It is unclear what the context or purpose of this table is.*
FDA Label Image

Logo (Image 05)

FDA Label Image

Label (Lbl636299134)

Label (Lbl636299134)
This is a description for NILD Fluconazole Tablets. Each tablet contains 100mg of Fluconazole, a prescription drug used to treat fungal infections. It is important to keep this medication out of the reach of children and store it at room temperature. The packaging is child-resistant and meets the standards set by the USP. This package includes 30 tablets and requires a prescription.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.