Product Images Prochlorperazine Edisylate
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Product Label Images
The following 4 images provide visual information about the product associated with Prochlorperazine Edisylate NDC 0641-6135 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 1
West-Ward logo - prochlorperazine edisylate injection 2
This is a description of a medication called Prochlorperazine Edisylate Injection, USP. It comes in a 2 mL vial with a concentration of 10 mg per 2 mL (5 mg/mL). The medication is intended for deep IM or IV use only and is not suitable for SC use. It is important to protect it from light. The drug is manufactured by Hikma and bears a lot number code.*
NDC 0641-6135-01 Prochlorperazine Edisylate Injection, USP 10 mg/2 mL (5 mg/mL) Rx only 2 mL Vial FOR DEEP IM OR IV USE ONLY NOT FOR SC USE PROTECT FROM LIGHT - prochlorperazine edisylate injection 3
This is a description of Prochlorperazine Edisylate Injection, which is supplied in 25 vials with 10mg per 2mL. This medication is for deep intramuscular or intravenous use only, and should not be used subcutaneously. The vials should be discarded if they are marked or discolored. The medication appears to be manufactured by Hikma, and there is also a mention of pediatric surgery.*
NDC 0641-6135-25 Rx only Prochlorperazine Edisylate Injection, USP 10 mg/2 mL (5 mg/mL) 25 x 2 mL Vials FOR DEEP IM OR IV USE ONLY NOT FOR SUBCUTANEOUS USE PROTECT FROM LIGHT: Keep covered in carton until time of use. Discard contents if markedly discolored. - prochlorperazine edisylate injection 4
This appears to be product information with a GTIN (Global Trade Item Number), a SN (Serial Number), an expiration date (EXP), and a lot number (LOT). It does not provide information about the product itself.*
* 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.