Product Images Mononessa
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 14 images provide visual information about the product associated with Mononessa NDC 76413-166 by Central Texas Community Health Centers, 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 - lbl76413166
This appears to be a prescription label for the medication MonoNessa, which is a 28-day cycle pill. It contains instructions for taking the pill daily as directed. The label is from CommUnityCare Federally Qualified Health Centers and includes a date and the name of the patient.*
illustration - mono tri 01
Chemical Structure - mono tri 02
Chemical Structure - mono tri 03
Ethinyl Estradiol is a synthetic form of the female hormone estrogen. It is often used in combination with progestin to prevent pregnancy and works by preventing the release of eggs from the ovaries. It is also used to treat symptoms associated with menopause and other hormonal imbalances.*
Figure - mono tri 04
This is a chart or a table that shows the different types of birth control methods and their effectiveness in minimizing the risk of pregnancy. The effectiveness is presented as the number of pregnancies per 100 women in one year. The table is divided into two sections: "Fewer Pregnancies" for birth control with less than 1 pregnancy per 100 women, and "More Pregnancies" for birth control with 10 to 85 or more pregnancies per 100 women. The birth control methods listed in the chart or table include implants, injections, intrauterine devices, sterilization, birth control pills, skin patch, vaginal ring, condoms, diaphragm, no sex during the fertile days, spermicide, and withdrawal.*
Figure A - mono tri 05
Figure B - mono tri 06
Figure C - mono tri 07
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Figure I - mono tri 13
* 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.