Product Images Cilostazol
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Product Label Images
The following 5 images provide visual information about the product associated with Cilostazol NDC 71610-037 by Aphena Pharma Solutions - Tennessee, 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.
Bottle Label 100mg - 71610 037
Cilostazol is a medication used to reduce symptoms of intermittent claudication in individuals with peripheral arterial disease (PAD). It works by widening blood vessels to improve blood flow and decrease pain and discomfort during physical activity. Cilostazol is available in tablet form and is usually taken twice a day. It may cause side effects such as headache, diarrhea, and dizziness. It is important to inform your doctor about any other medications you are taking before starting cilostazol.*
Aphena Pharma Solutions - TN - Aphena
Chemical Structure - image 01
The text seems to show a chemical structure notation for a molecule called Cilostazol. Cilostazol is a medication used to improve symptoms of intermittent claudication in individuals with peripheral arterial disease. It works by reducing platelet aggregation and increasing blood flow in the limbs.*
Figure 1 - image 02
This is a table showing the plasma concentration in nanograms per milliliter of Cilostazol, 34-dehydrocilostazol, and 4trans-hydroxycilostazol. The values for Cilostazol are 1800 ng/mL, for 34-dehydrocilostazol are 1600 ng/mL, and there is no available data for 4trans-hydroxycilostazol.*
Figure 2 - image 03
The text refers to a chart showing the percentage of mean improvement in maximal walking distance specific to certain treatments over various durations. The treatments included are a placebo, jostazol 50 mg bi.d, and cilostazol 100 mg b.i.d. The chart includes data for durations of 12, 16, and 24 weeks.*
* 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.