Product Images Levora

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 6 images provide visual information about the product associated with Levora NDC 53002-1565 by Rpk Pharmaceuticals, Inc., 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.

Label Image - lbl530021565

Label Image - lbl530021565

Chemical Structure - levora 01

Chemical Structure - levora 01

Chemical Structure - levora 02

Chemical Structure - levora 02

Table II - levora 03

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

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

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.*

* 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.