Product Images Topiramate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 4 images provide visual information about the product associated with Topiramate NDC 43063-729 by Pd-rx Pharmaceuticals, 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.

43063729 Label - 43063729

43063729 Label - 43063729

This is a medication packaging for Topiramate tablets of 100mg strength. It contains 60 tablets for consumption and has an orange color with markings of 124 on it. It has dosage instructions, storage information, and a warning to keep it out of children’s reach. The package also has details such as reorder number, lot number, and an expiration date of 01/2021. The packaging also suggests contacting a doctor in case of side-effects and reporting them to the FDA. There are also barcode and serial number details for tracking purposes. Overall, it contains essential information related to the medication.*

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ccb7a1e4 a3a1 4a0e 8eb0 8086f53e314b 02

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This is a graph showing cumulative rates for time to first seizure for two different groups of people taking different amounts of Topamax (Topiramate) medication. The group taking 50mg per day is represented by a dotted line and the group taking 400mg per day is represented by a solid line. The graph shows that the group taking the higher dose of medication experiences a lower rate of seizures over time. The X-axis represents time in days, and the Y-axis represents the cumulative rate of seizures.*

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The text describes the change in the frequency of migraine attacks in a double-blind phase after taking Topamax medication. The medication is available in two dosages, 100 mg/day and 200 mg/day. The average monthly migraine rate increased by 56% compared to the baseline. The asterisks indicate statistical significance.*

* 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.