Product Images Sharobel
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 4 images provide visual information about the product associated with Sharobel NDC 16714-441 by Northstar Rx Llc, 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.
Norethindrone Structure - norethindrone
Norethindrone is a type of hormone used in some forms of birth control. It is a progestin, and works by thickening cervical mucus to prevent sperm from reaching the egg, as well as thinning the lining of the uterus to make implantation less likely. It is also sometimes used to treat endometriosis, irregular periods, and other hormonal imbalances.*
carton - sharobel 6cycle
Sharobel is a brand of Norethindrone tablets with a strength of 0.35mg.*
Table I - table 1 2
This text provides a table showing the percentage of women experiencing unintended pregnancies during the first year of typical use and first year of perfect use for different contraceptive methods, along with the percentage of women continuing use at one year in the United States. The text also provides information about emergency contraceptive pills and lactational amenorrhea method, as well as a source reference and clarifying notes about the percentage data in the table.*
Table II - table 2 6
This text contains a table showing the percentage of women who experience unintended pregnancies during the first and successive years of typical use and perfect use of contraception. It also shows the percentage of women continuing the use of contraceptive methods. The text mentions different contraceptive methods and their effectiveness. The use of lactational amenorrhea and emergency contraceptive treatment is also mentioned. The text could be useful for health professionals and individuals looking for information about contraceptive methods and their efficacy.*
* 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.