Necon 777
Product Images NDC 68258-5005

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 Necon 777 (NDC 68258-5005). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Dispensing Solutions, Inc., 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

Ndc 68258-5005-02 (Ndc 68258 5005 02 Watson Pharma, Inc.)

Ndc 68258-5005-02 (Ndc 68258 5005 02      Watson Pharma, Inc.)
This is a medication package meant for Necon 7/7/7 tablets manufactured for Watson Pharma, INC. The package contains a combination of white, light peach, peach tablets of different strengths containing Norethindrone and Ethinyl Estradiol. The tablets come in a tight and light resistant container and should be dispensed by a doctor. The lot number, sample exp date, and RX number are provided to keep track of the medication. A warning is present to keep the package out of reach of children and store it at 77°F. The rest of the text is unreadable by .*
FDA Label Image

Chemical Structure (Necon 01)

FDA Label Image

Table Ii (Necon 02)

Table Ii (Necon 02)
This is a table presenting circulatory disease mortality rates per 100,000 woman-years by age, smoking status, and oral contraceptive use. It is divided into two groups: even.users (non-smokers) and even.users (smokers), with mortality rates ranging from 0 to 250 deaths per 100,000 woman-years. It shows different age groups, ranging from 15-24 to 45-54 years old. The purpose of the table is to indicate the difference of mortality rates between non-smokers and smokers with circulatory disease, according to the age group.*
FDA Label Image

Picture (Necon 03)

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