Product Images Dextrose

View Photos of Packaging, Labels & Appearance

Product Label Images

The following 3 images provide visual information about the product associated with Dextrose NDC 0404-9846 by Henry Schein, 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.

Formula1.jpg - Formula1

Formula1.jpg - Formula1

Image1.jpg - Image1

Image1.jpg - Image1

This is a product description of two different concentration units of a medication. One unit (NDC 0409-4902-34) consists of a bundle containing 10 syringes with a male luer lock adapter and needle, each syringe containing 0.5 g/mL of the medication. The other unit (NDC 0409-6648-02) includes a tray with 25 single-dose flip-top vials, each vial containing 50 mL of the medication at a concentration of 0.5 g/mL. Additionally, there is a bundle of 10 Ansyrâ„¢ [l plastic syringes with syringe (0.5 g/mL) and barrel detached (NDC 0409-7517-16).*

Label1.jpg - Label1

Label1.jpg - Label1

This text describes a medication named Dextrose. It comes in an injection form, with a dosage strength of 25g/50mL, and is marketed by Abboject Syringe. Caution must be taken when handling it as it's a liquid in glass, and it should be used with aseptic technique. It is a single dose unit, and the unused portion should be discarded. It's crucial to keep it out of reach of children and store it at controlled room temperature between 68 to 77 degrees Fahrenheit. The provided lot number is X3OOKKXXX, and additional product and handling information can be found in the manufacturer's insert. The medicine is packed by Henry Schein, Inc., with a standard GTIN number of 001000CKINXKKKNAK and a SER number of 2100000000000, located at 80 Summit View Lane, LOT number 10500000, in Bastian, VA 24318. The expiration date of the product varies and can be found in the provided EXP:mm-dd-yy code.*

* 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.