Chemical Structure (Paricalcitol 01)
Paricalcitol
Product Images NDC 69387-103
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Paricalcitol (NDC 69387-103). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Banner Life Sciences Llc., these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.
Figure 1 (Paricalcitol 02)
The text appears to be a table of data including the names "Paricalcitol" and "Placebo", along with numeric values in the columns "T", "5", "7", "9", "1", "13815", "17", and "Week". It is unclear what the values represent without further context.*
Figure 2 (Paricalcitol 03)
Principal Display Panel (1 mcg Capsule Bottle Label)
This is a label for the medication Paricalcitol. It provides instructions for storing the medication between 15-30°C and warns the user not to use the medication if the seal is broken.*
Principal Display Panel (2 mcg Capsule Bottle Label)
This is a medication label for a bottle of Paricalitol capsules. Each capsule contains 2mg of Paricalitol, USP. It comes in a container that shouldn't be accepted if the seal over the bottle opening is broken or missing. The storage temperature should be between 15%-30°C (50°-86°F) and it has to be kept at USP Controlled Room Temperature 25°C (77°F).*
Principal Display Panel (4 mcg Capsule Bottle Label)
This is a description for Paricalcitol capsules, a medication used to treat hyperparathyroidism in patients with chronic kidney disease. The capsules are stored at a temperature range of 15-30°C and should be discarded if the seal is broken or missing. The NDC number for the capsules is not fully readable in the text provided.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
