Product Images Levonorgestrel And Ethinyl Estradiol
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Product Label Images
The following 5 images provide visual information about the product associated with Levonorgestrel And Ethinyl Estradiol NDC 79929-004 by Naari Pte Limited, 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.
blister-202 - blister 202
This is a medication called Levonorgestrel and Ethinyl Estradiol Tablets that comes in a blister card packaging with 28 tablets. The NDC number for the product is 79929-004-05 and it is manufactured by Naari Pte Ltd. The tablets have a strength of 0.1mg/0.02mg and are made in India. The packaging includes days of the week labeled from SUN to SAT and the user needs to start the medication as directed. The storage instructions advise to keep the medication at a controlled room temperature between 20°C to 25°C (68°F to 77°F) and away from children. There is an additional text that is not readable.*
image description - figure 2
This document presents a list of studies that evaluate the risk of breast cancer associated with the use of combined oral contraceptives. The studies were conducted between 2002 and 2017, and some report on "ever use" while others report on "current use". The table shows the effect estimates (OR/RR) obtained from each study. No further information or analysis is provided.*
fig 1 tab 1 - levonorgestrel ethinyl estradiol fig1
This is a table showing the concentration (in ng/mL and pg/mL) of Levonorgestrel and Ethinyl Estradiol over time (in hours) for Days 1, 6, and 21.*
table 3 - levonorgestrel ethinyl estradiol fig2
Chemical Structure - levonorgestrel ethinyl estradiol str
Levonorgestrel Ethinyl Estradiol is a combination of two hormones used for birth control. It works by preventing ovulation and thickening cervical mucus to prevent sperm from reaching the egg.*
* 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.