Product Images Rizatriptan Benzoate

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 8 images provide visual information about the product associated with Rizatriptan Benzoate NDC 59746-445 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.

Fig01

Fig01

Fig02

Fig02

Fig03

Fig03

The text appears to be a chart showing estimated probability of response for different medications at different doses and time post-dose. The medications mentioned are Placebo, Rizatriptan Benzoate QD Tablets 5 mg, and Rizatriptan Benzoate OD Tablets 10 mg. However, the chart is missing some important context for proper interpretation.*

Fig04

Fig04

This appears to be a table of data, displaying the percentage values of different grades of E e Rizatriptan Benzoate tablets at different times post-dose. The table shows the percentage of effectiveness of the tablets, with the dosage strengths on the left and time post-dose on the bottom of the table, in hours.*

figure 05 - Fig05

figure 05 - Fig05

5 mg blister - blister001

5 mg blister - blister001

The text contains information about a medication called Rizatriptan Benzoate, in the form of orally disintegrating tablets of 5mg. The package includes 3 tablets and has some usage instructions in an unknown language. There are also some numbers and codes, but the context is unclear.*

10 mg blister - blister02

10 mg blister - blister02

This is a description of Rizatriptan Benzoate orally disintegrating tablets. The image includes the drug name, dosage (10mg), and product information such as the number of tablets in the package (3) and manufacturer details. There is also a lot number and reference number for the product.*

str. - structure

str. - 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.