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 76282-462 by Exelan 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.

Rizatriptan10mgcarton - rizatriptan 10mg carton

Rizatriptan10mgcarton - rizatriptan 10mg carton

Rizatriptan10mgfoil - rizatriptan 10mg foil

Rizatriptan10mgfoil - rizatriptan 10mg foil

This is a description of medication with the NDC code 76282-463-06 which is Rizatriptan Benzoate Tablet, USP of 10mg (base). It warns that the medication should be kept out of children's reach. The manufacturer is Exelan Pharmaceuticals, Inc. with a location in Boca Raton, FL 33432. It also includes the lot and exp number.*

Rizatriptan5mgcarton - rizatriptan 5mg carton

Rizatriptan5mgcarton - rizatriptan 5mg carton

Rizatriptan5mgfoil - rizatriptan 5mg foil

Rizatriptan5mgfoil - rizatriptan 5mg foil

This is information about a medication called Rizatriptan Benzoate Tablet, USP with 5mg strength. The National Drug Code (NDC) is 76282-462-06. It is warned to keep it out of children's reach. This medication is manufactured by Exelan Pharmaceutical, Inc. located in Boca Raton, FL. The lot number is 000000 and the expiration date is 00/0000.*

Rizatriptanfigure1 - rizatriptan fig1

Rizatriptanfigure1 - rizatriptan fig1

Rizatriptanfigure2 - rizatriptan fig2

Rizatriptanfigure2 - rizatriptan fig2

This text shows a graph that displays the estimated probability of remedication or rescue for a placebo and Rizatriptan Benzoate tablets of different dosages. The graph also shows the time post-dosage in hours.*

Rizatriptanfigure5 - rizatriptan fig5

Rizatriptanfigure5 - rizatriptan fig5

structure - rizatriptan str

structure - rizatriptan str

* 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.