Product Images Penicillin G Potassium
View Photos of Packaging, Labels & Appearance
- Pen G K 1 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 01
- Pen G K 5 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 02
- Pen G K 20 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 03
- structure - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 04
- 20mmu 10 - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 05
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Product Label Images
The following 7 images provide visual information about the product associated with Penicillin G Potassium NDC 44567-310 by Wg Critical Care, 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.
Pen G K 1 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 01
Pen G K 5 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 02
This appears to be a description of a pharmaceutical product, specifically Penicillin G Potassium for Injection. It comes in vials of 5000,000 units each, and the identifying code is INDC 44567-311-10. The rest of the text is not legible or relevant.*
Pen G K 20 mmu vial label - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 03
structure - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 04
20mmu 10 - 9cee7cb0 270a 4b55 9116 b8beee66c3c9 05
NDC 44567-312-10 is a package of 10 vials of Penicillin G Potassium for Injection, USP. Each vial contains 20,000,000 units* of Penicillin G, which is intended for IV infusion use only. It is a prescription medicine, available under the trade name WECitticalCare.*
image 01
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This text appears to be a medication label for a Penicillin G TTT injection. It includes information such as the dosage, concentration, and storage requirements. The medication appears to be intended for intravenous infusion only and must be stored in a controlled room temperature or refrigerated. The label also indicates that the vial contains twenty million units of the medication.*
* 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.
