Product Images Dasetta 7/7/7

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 10 images provide visual information about the product associated with Dasetta 7/7/7 NDC 16714-346 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.

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This is a list of two medications: norethindrone and ethinyl estradiol. There is no additional information available to provide a more detailed description or context of use.*

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This is a figure showing circulatory disease mortality rates per 100,000 women-years categorized by age, smoking status, and oral contraceptive use. The text includes a chart with mortality rates ranging from about 23 to 250 deaths per 100,000 women-years. The figure is adapted from a reference by P.M. Layde and V. Beral.*

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DASETTA™ 7/7/7 is not recommended for women over 35 years old who smoke cigarettes due to increased risk of serious cardiovascular side effects including heart and blood vessel problems, blood clots, stroke, and even death. The risk of these side effects is higher with age and the number of cigarettes smoked.*

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DASETTA™ 7/7/7 should not be used if you smoke cigarettes and are over 35 years old due to the increased risk of serious cardiovascular side effects such as heart attack, blood clots, or stroke, which is associated with combination oral contraceptives. The risk of these potentially life-threatening side effects increases with age and the number of cigarettes smoked.*

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DASETTA is a medication containing Norethindrone and Ethinyl Estradiol, available in 15mg/0.05mg, 175mg/0.03mg and 1mg/0.035mg strengths. The medication is also known as Esvalo-T and is available in different quantities. The output contains some corrupted characters and broken text but still provides enough information for a brief description.*

* 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.