Label Image (Lbl530021565)
Levora
Product Images NDC 53002-1565
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 Levora (NDC 53002-1565). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.
As provided by Rpk Pharmaceuticals, 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.
Chemical Structure (Levora 01)
Chemical Structure (Levora 02)
Table Ii (Levora 03)
This is a chart displaying ranges of blood clot occurrences in non-pregnant individuals who are not using contraceptive pills, and also in postpartum individuals (up to 12 weeks after delivery). The number of women out of 10,000 who experienced a blood clot is shown. The provided pregnancy data is based on the duration of pregnancy in reference studies, with a modeled assumption of nine months, resulting in a blood clot occurrence rate of 7 to 27 per 10,000 women years.*
Blister Pack (Levora 04)
The given text appears to be a chart showing various methods of contraception and their effectiveness in preventing pregnancies. The chart lists different options such as implants, injections, intrauterine devices, sterilization, birth control pills, skin patch, vaginal rings with hormones, condoms, diaphragm, no sex during the most fertile days of the monthly cycle, spermicide, and withdrawal. The effectiveness of each method is mentioned in terms of the pregnancies per 100 women in one year. The range varies from fewer than one pregnancy to 85 or more pregnancies per 100 women.*
Levora 04a
This is a medication description for a contraceptive pill called "et". It contains 0.15 mg of levonorgestrel and 0.03 mg of ethinyl estradiol.*
* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.
