Product Images Kombiglyze XR
View Photos of Packaging, Labels & Appearance
Product Label Images
The following 7 images provide visual information about the product associated with Kombiglyze XR NDC 0310-6145 by Astrazeneca Pharmaceuticals Lp, 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.
5/1000mg 30 count bottle label - 5mg 1000mg 30ct bottle
This is a medication called Kombiglyze XR, which comes in a package of 30 tablets with an NDC number of 0310-6145-30. It contains a combination of saxagliptin and metformin HCI, both in an extended-release formula. Patients are advised not to crush, cut or chew the tablets, and to swallow them whole. The medication comes with a medication guide provided by AstraZeneca, the manufacturer.*
Figure 1 - Figure 1
2.5/1000mg 60ct bottle label - image 01
Description: CIREEEE NDC 0310-6125-60 KombiglyzeXR is a medication that contains saxagliptin and metformin HCI. The tablets come in 5 mg/1000 mg strength and come with a medication guide. It is important to swallow the tablets whole and not to crush, cut, or chew them. The last line is not readable and appears to be a garbled text.*
5X500mg 30 count bottle label - image 02
This text is indicating the information related to a medication named "Kombiglyze XR". The tablet form of medication is available in a bottle containing 30 tablets with a specific product code. The medication must not be crushed, cut, or chewed, and should be swallowed whole. There is also a mention of a medication guide but it's not available. Additionally, there is a word "Rovzenees" but it seems to be a misrecognized word and therefore, the information regarding "Rovzenees" is not available.*
Figure 2 - image 03
metformin hydrochloride structural formula - metformin hydrochloride structural formula
saxagliptin structure - saxagliptin structure
* 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.