Ketorolac Tromethamine
Product Images NDC 71872-7022

Product Visual Gallery

This gallery contains 6 technical images submitted to the FDA as part of the official labeling for Ketorolac Tromethamine (NDC 71872-7022). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Medical Purchasing Solutions, Llc, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Pdp (7022)

This is a description of a medication called Ketorolac Tromethamine. It is in a single-dose flip-top vial of 30mg/ML and is for intravenous or intramuscular use. Each mL contains 4.35mg of alloonol and may contain sodium. The pH level is 744, and the usual dosage is provided. The medication should be stored in a location between 20 to 25°C and unused portions should be discarded. The manufacturer is identified as Hospira, and the manufacturer NDC number is 0408. The medication is produced and distributed within the United States.*

FDA Label Image

Hospira Logo (Ketorolac Tromethamine 01)

FDA Label Image

Structural Formula Of Ketorolac (Ketorolac Tromethamine 02)

This seems to be a chemical formula or equation with a possible reference to Figure 1. However, without additional context, it is unclear what the chemical components represent or what the significance of the image in Figure 1 may be.*

FDA Label Image

Hospira Logo (Ketorolac Tromethamine 03)

FDA Label Image

Hospira Logo (Ketorolac Tromethamine 04)

FDA Label Image

Principal Display Panel (30 mg/mL Vial Label)

This is a description of a single-dose medication called "Ketorolac L", with a volume of 1 mL and an NDC code of 0409-3795-19. The medication contains tromethamine, USP and is intended for hospital use. The manufacturer is Hospira, Inc. based in Lake Forest, IL 60045 USA.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.