Mili
Product Images NDC 50090-3962
View Photos of Packaging, Regulatory Labels, and Product Appearance
Product Visual Gallery
This gallery contains 7 technical images submitted to the FDA as part of the official labeling for Mili (NDC 50090-3962). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by A-s Medication Solutions, 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 (Norgestimate Fig1)
Figure 2 (Norgestimate Fig2)
Figure 3 (Norgestimate Fig3)
This text provides information about different birth control methods and their effectiveness in preventing pregnancies. It shows that some methods like implants, injections, intrauterine devices, and sterilization have the lowest rate of unwanted pregnancy (fewer than 1 per 100 women in one year), while other methods like birth control pills, skin patch, and vaginal ring have a moderate rate of 10 to 20 pregnancies per 100 women in one year. In contrast, not using any birth control method results in the highest rate of unwanted pregnancy (85 or more per 100 women in one year). The text also mentions other birth control methods such as condoms, diaphragm, spermicide, and withdrawal, but with no specific effectiveness rates provided. Additionally, the text mentions the strategy of not having sex during the most fertile days of the monthly cycle as a way to prevent pregnancy.*
Blister Pack (Norgestimate Fig4)
Blister Pack (Norgestimate Fig5)
Chemical Structure (Norgestimate Str)
Ethinyl Estradiol is a synthetic form of estrogen used in combination with other hormones as a component of hormonal contraception methods (such as birth control pills) and hormone replacement therapy for menopausal symptoms. It is also used in the treatment of certain types of cancer, such as breast and prostate cancer.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.