








NaturVet Emotional Support Daily Calming Aid Dog Supplement - Helps Promote 24/7 Normal, Calm Behavior - for Dog Stress, Nervousness, Separation, Unwanted Behavior - 120ct Soft Chews
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Product Details
HIGH-QUALITY EMOTIONAL SUPPORT SUPPLEMENT FOR DOGS: Recommended for long-term, 24/7 calming support when given on a daily basis. Helps with temperament, behavioral training, barking, howling, pacing, digging, stress, and general nervousness.
BOTANICAL DAILY CALMING AID DOG SUPPLEMENT: Magnesium, Melatonin and Passion Flower help to promote rest and relaxation, Chamomile helps support sensitive stomachs, B-vitamins help support balanced behavior, Chinese Herbs Ziziphus, Dan Shen, Schizandra, Polygala, and Oyster Shell work synergistically to provide emotional balance when given on a daily basis.
DOG SUPPLEMENT FOR STRESS AND NERVOUSNESS: Botanical blend of ingredients in this dog soft chew supplement help to maintain contentment during separation, travel and tension caused by changes in daily routine.
TASTY, DOG SOFT CHEW SUPPLEMENT: These calming dog supplements are available in 120-count soft chews that taste like a treat and are packaged in a re-sealable jar for continued freshness.
PET PRODUCTS YOU CAN TRUST: For over 25 years NaturVet has offered a high-quality line of pet health supplements developed by veterinarians and staff scientists for dogs, cats and horses. NaturVet manufacturers solution based supplements to help ensure the superior quality of life pets deserve.
Best Review
Customers report that the calming supplement works within 30 minutes and helps dogs settle down, particularly noting its effectiveness for separation anxiety. However, the product receives mixed feedback about its effectiveness, with some saying it works well while others report it didn't work for their dogs. Moreover, customers express concerns about the taste and smell, noting that dogs refuse to eat them and describe a rancid odor. Additionally, the product is very hard, making it difficult for small breeds to consume.AI Generated from the text of customer reviews