Product Images Progesterone

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Progesterone NDC 10888-7135 by Banner Pharmacaps, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

chemical structure - progesterone 01

chemical structure - progesterone 01

graph1 - progesterone 02

graph1 - progesterone 02

PRINCIPAL DISPLAY PANEL - 100 mg Capsule Bottle Label - progesterone 03

PRINCIPAL DISPLAY PANEL - 100 mg Capsule Bottle Label - progesterone 03

Each capsule of this medication contains 100mg of micronized progesterone which is commonly used for hormone replacement therapy. The recommended dosage of this medication should be followed as instructed in the package insert. It must be stored in a tight, light-resistant container to protect it from moisture and must be kept at a temperature range of 20°-25°C. This medication should not be used if you are allergic to peanuts. Contact your pharmacist for more information.*

PRINCIPAL DISPLAY PANEL - 200 mg Capsule Bottle Label - progesterone 04

PRINCIPAL DISPLAY PANEL - 200 mg Capsule Bottle Label - progesterone 04

Each capsule contains 200 mg micronized progesterone. The usual dose can be found in the package insert and should be read carefully. The medication should be dispensed in a tightly sealed, light-resistant container as defined by the USP/NF, accompanied by a patient insert. The progesterone should be stored between 20°C-25°C (68°F-77°F) and protected from excessive moisture. The capsules should be kept out of reach of children and are sealed for the patient's protection. The medication should not be used if the patient is allergic to peanuts. The medication comes in a 100 count bottle and is distributed by Banner Pharmacaps Inc.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.