Product Images Kariva
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 10 images provide visual information about the product associated with Kariva NDC 0555-9050 by Teva Pharmaceuticals Usa, 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.
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This is a medication package for 6 Cyclic Tablet Dispensers x 28 Tablets of Karivae, which is a combination of desogestrel/ethinyl estradiol and ethinyl estradiol tablets USP used for women's health. The usual dosage is one tablet daily as directed. The package contains foil pouches containing blister cards and "Briel Summary and Detailed Patient Labeling Inserts" for each prescription, as well as a vinyl wallet. It should be stored at 20° to 25°C (68" to 77°F) and kept out of the reach of children. Full prescribing information can be found in the enclosed package insert.*
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This appears to be a list of studies and their respective dates concerning women's contraceptive use. The studies include NICHD Women's Contraceptive Study in 2002 (ever and current use), French E3N cohort Study in 2005 (ever use), Shanghai Women's Health Study in 2009 (ever use), The Nurses' Health Study Il in 2010 (ever and current use), and Oxford Family Planning Association Study in 2013 (ever use). The Danish Sex Hormone Register Study from 2017 is also mentioned. There are some effect estimate ranges included in the text as well.*
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This is a description of a contraceptive product called Karwae. It comes in 6 cyclic tablet dispensers and each dispenser contains 28 tablets. Each tablet is a combination of desogestrel/ethinyl estradiol and ethinyl estradiol tablets USP with a composition of 0.15 mg/0.02 mg and 0.01 mg. It is to be used to prevent pregnancy, but does not protect against HIV infection (AIDS) or other sexually transmitted diseases.*
* 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.