Product Images Zolmitriptan

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Product Label Images

The following 7 images provide visual information about the product associated with Zolmitriptan NDC 59746-432 by Jubilant Cadista 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.

Zolmitriptan 2.5 mg carton label - 2.5mgcarton

Zolmitriptan 2.5 mg carton label - 2.5mgcarton

2.5 mg blister Foil - 2.5mgfoil

2.5 mg blister Foil - 2.5mgfoil

Zolmitriptan Tablet is a medication used for the treatment of migraine headaches. Each tablet contains 2.5mg of Zolmitriptan. It should be stored protected from light and moisture. The tablet is manufactured by Pramacavtcts and comes in a pack of 3. The NDC number for this medication is 59746-432-04.*

Zolmitriptan 5 mg carton label - 5mgcarton

Zolmitriptan 5 mg carton label - 5mgcarton

5 mg blister Foil - 5mgfoil

5 mg blister Foil - 5mgfoil

Zolmitriptan Tablet is a medication with the purpose of protecting it from light and moisture. The packaging indicates that it is made by Cadista Pharmaceuticals and comes in a container with a code of 3 59746-433-04.*

Figure 1 - figure1

Figure 1 - figure1

The text contains a figure titled "Figure 1" with a graph showing the estimated probability of achieving initial headache response within 4 hours of treatment in pooled studies 2, 3, and 5. The graph includes data for placebo, zolmitriptan 1mg, zolmitriptan 2.5mg, and zobritrptan 5mg. The x-axis shows the time from initial dose in hours, and the y-axis shows the estimated probability of achieving response. The graph suggests that zolmitriptan at higher doses and zobritrptan have a higher probability of achieving initial headache response compared to placebo.*

Fig. 2 - figure2

Fig. 2 - figure2

Zolmitriptan structure - structure

Zolmitriptan structure - structure

* 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.