Product Images Ceftriaxone
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 5 images provide visual information about the product associated with Ceftriaxone NDC 70594-096 by Xellia Pharmaceuticals Usa Llc, 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.
Chemical Structure - ceftriaxone 01
PRINCIPAL DISPLAY PANEL - 250 mg Vial Carton - ceftriaxone 02
This is a description of a medication with the National Drug Code (NDC) 70504.094-02. The medication is Ceftriaxone Sodium for Injection, available in single-dose vials containing 250mg of the active ingredient per vial. It is intended for intravenous or intramuscular use. Each vial contains Ceftriaxone Sodium equivalent to 250mg of Ceftriaxone. This medication requires a prescription.*
PRINCIPAL DISPLAY PANEL - 500 mg Vial Carton - ceftriaxone 03
Ceftriaxone is a medication for injection used for intravenous or intramuscular use. Each vial contains 500mg of ceftriaxone sodium and comes in 25 single-dose vials. The product has two NDC numbers: 70504.095-02 and 70594.095.02.*
PRINCIPAL DISPLAY PANEL - 1 gram Vial Carton - ceftriaxone 04
This is a description of a medication named Ceftriaxone. It is available for intravenous or intramuscular use. Each vial contains ceftriaxone sodium equivalent to 1 gram of the medication. The package has 25 single-dose vials. The medication is indicated for prescription use only.*
PRINCIPAL DISPLAY PANEL - 2 gram Vial Carton - ceftriaxone 05
Ceftriaxone for Injection is a prescription medication with a National Drug Code (NDC) of 70594-097-02 or 70504-097-02. It is available in single-dose vials of 2 grams each for intravenous or intramuscular use. Each vial contains ceftriaxone sodium equivalent to 2 grams of ceftriaxone. This medication should only be used under medical supervision.*
* 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.