Figure 1 (Figure 1)
Progesterone Capsule
Product Images NDC 70700-162
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 4 technical images submitted to the FDA as part of the official labeling for Progesterone (NDC 70700-162). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Xiromed, 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.
Principal Display Panel (100 mg Capsule Bottle Label)
This is a description of a medication called N'Dc 70700-162-01 Rconly Ea_(h(a_ps. It is micronized progesterone capsules that are typically stored at 20-25°C (68° to 77°F) to prevent moisture damage. The capsules should be dispensed in a tight, light-resistant container and should not be used if the patient is allergic to peanuts. The usual dosage should be found in the package insert, and it is important to keep this medication and all drugs out of the reach of children. The description also includes the manufacturer's name, Xiromed, LLC, and information about the product, which was made in Spain.*
Principal Display Panel (200 mg Capsule Bottle Label)
This is a product description for the NDC 70700-163-01 progesterone capsules. The capsules contain micronized progesterone at 200 mg each. The usual dosage and storage information are included, and the product should be kept in a tight, light-resistant container at room temperature. The manufacturer is Xiromed, LLC of Florham Park, NJ, and the product is made in Spain. The product and all medication must be kept away from children and those who have a peanut allergy. The pharmacist is directed to dispense the patient information leaflet that has been provided separately.*
Chemical Structure (Prog Structure)
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
