Product Images Methotrexate
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Methotrexate NDC 0143-9517 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.
Structural formula - methotrexate injection usp 1
Methotrexate Injection, USP 50 mg/2 mL vial label - methotrexate injection usp 2
Methotrexate Injection, USP 100 mg/4 mL vial label - methotrexate injection usp 3
Methotrexate Injection, USP 200 mg/8 mL vial label - methotrexate injection usp 4
This appears to be a label for a medication called "Methotrexate Injection, USP" with a dosage of 200 mg per 8 mL and a strength of 25 my/mL. The label also contains some identification information, such as the product code "NOC 014301701" and the name "Fixorly EIOIONEAG". However, the text is partially garbled and difficult to read, so some of the information may not be fully accurate.*
Methotrexate Injection, USP 250 mg/10 mL vial label - methotrexate injection usp 5
Representative Carton Serialization Image - methotrexate injection usp 6
This is a product label with a GTIN (Global Trade Item Number), SN (Serial Number), EXP (Expiration Date) and LOT (Lot Number) information. However, no information is available about the product itself.*
Representative Carton Serialization Image - methotrexate injection usp 7
This text provides product identification and expiration information such as the Lot number: "T Lot", product code: "ABCDE12345", expiration date: "MMMYYYY", Global Trade Item Number (GTIN): "00301234567896", and Serial Number (SN): "12345678901234". Such information is commonly found on product labels or packaging and can be useful for inventory management and quality control purposes.*
* 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.