Product Images Prochlorperazine Edisylate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 6 images provide visual information about the product associated with Prochlorperazine Edisylate NDC 0641-6225 by Hikma Pharmaceuticals Usa 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.
Chemical structure - prochlorperazine edisylate injection syringe 1
Figure 1 - prochlorperazine edisylate injection syringe 2
This appears to be a list of parts/components for a syringe. It includes a plunger rod, syringe tip cap, syringe, and an external collar with a warning not to remove it.*
figure 2 - prochlorperazine edisylate injection syringe 3
Syringe Label - prochlorperazine edisylate injection syringe 4
This appears to be a product label for a single dose syringe of Prochlorperazine Eisylate Injection. The injection contains 5 micrograms per milliliter of Prochlorperazine Eisylate and is for intravenous use only. The label suggests storing the product away from light.*
Carton - prochlorperazine edisylate injection syringe 5
This is a description of a medication called Prochlorperazine Edisylate Injection, USP, which contains 10mg per 2mL (5mg/mL) of Prochlorperazine. The medication is meant for deep intramuscular or intravenous use only and not for subcutaneous use. It is provided in single-dose prefilled syringes which should be stored at room temperature. The text also includes information on the packaging and manufacturing company, Hikma Pharmaceuticals USA.*
Layout 1 - prochlorperazine edisylate injection syringe 6
This is a product identification information containing the GTIN (Global Trade Item Number) as 0301234567896, SN (Serial Number) as 1234567890123, and the expiration date as MMMYYYY. Additionally, there is a LOT (Lot Number) identification as ABCDE12345.*
* 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.