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  5. Product Images: Naratriptan

Product Images Naratriptan

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 5 images provide visual information about the product associated with Naratriptan NDC 69452-341 by Bionpharma 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.

molecular structure - naratriptan tablets figure 1

molecular structure - naratriptan tablets figure 1

Figure 1 - naratriptan tablets figure 2

Figure 1 - naratriptan tablets figure 2

Figure 2 - naratriptan tablets figure 3

Figure 2 - naratriptan tablets figure 3

This appears to be a graph displaying the estimated probability of remedication or rescue over time in hours from the initial dose. The graph shows a probability of 100% at the beginning and a time scale ranging from 0 to 20 hours with markers at 10 and 15 hours. It is not possible to determine what type of medication or rescue is being referred to without further context.*

1 mg carton - naratriptan tablets figure 4

1 mg carton - naratriptan tablets figure 4

2.5 mg carton - naratriptan tablets figure 5

2.5 mg carton - naratriptan tablets figure 5

This is a description of Naratriptan Tablets, USP, a medication used for migraines. Each coated tablet contains 25g of naratriptan. The dosage information is available with the prescribing information. The tablets should not be used if the blister pack is tampered with or damaged. The package is child-resistant. Opening the blister pack requires tearing it along the perforations and pushing the tablet through the hole. The tablets are distributed by Bionpharma Inc. and should be stored in a controlled room temperature range of 20° to 25°C. The product is made in India and comes in a pack of 9 unit-of-use tablets. The product should only be dispensed by a pharmacist with the patient information leaflet.*

* 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.