Does stopping nicotine increase insulin sensitivity?

Checked on January 16, 2026
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Executive summary

Stopping nicotine tends to improve insulin sensitivity in humans, but the effect is partial, can be obscured by weight gain after quitting, and may be blunted if nicotine is replaced chronically (as with long‑term gum or patches); mechanistic studies implicate nicotine-driven IRS‑1 Ser636 phosphorylation and mTOR activation as drivers of insulin resistance while some animal data suggest receptor‑specific exceptions that complicate a single‑line conclusion [1] [2] [3] [4] [5].

1. Evidence from human cessation studies: improvement is real but partial

Intervention studies report that insulin sensitivity increases after smoking cessation — investigators documented significant rises in insulin sensitivity within weeks of quitting alongside normalization of elevated muscle IRS‑1 Ser636 phosphorylation, indicating a reversible nicotine effect on skeletal muscle insulin signaling [1] [2]. Meta‑level reviews and clinical summaries conclude that insulin sensitivity is improved after stopping smoking even though some metabolic measures (like intracellular lipids and triglycerides) may remain elevated in ex‑smokers compared with never‑smokers [1] [6].

2. Mechanism: nicotine, IRS‑1 phosphorylation and mTOR

Cell culture and muscle biopsy data tie nicotine exposure to increased IRS‑1 Ser636 phosphorylation and activation of mTOR/p70S6K, molecular changes that reduce insulin‑stimulated glucose uptake in myotubes — and inhibition of mTOR with rapamycin restored insulin sensitivity in those models, supporting a direct mechanistic link between nicotine and peripheral insulin resistance [7] [8].

3. Confounder: weight gain after quitting can mask early benefits

Clinically important caveats emerge in human trials: quitting smoking commonly produces weight gain and associated rises in adiposity, and that weight gain can worsen or transiently negate improvements in insulin sensitivity, producing a mixed net picture over months despite the direct removal of nicotine’s hostile molecular signaling [9] [3]. Some studies show insulin sensitivity improves after nicotine replacement is stopped, indicating weight and other factors, not nicotine alone, influence the net metabolic outcome [3] [10].

4. Nicotine replacement and long‑term nicotine use: a double‑edged sword

Long‑term use of nicotine gum or chronic nicotine replacement has been associated with hyperinsulinemia and insulin resistance in observational studies, and trials where nicotine replacement was given during cessation found insulin sensitivity fell during active nicotine exposure and rose after nicotine was withdrawn — suggesting that persistent nicotine exposure, even without smoking, can sustain insulin resistance [4] [10] [3].

5. Contradictions and nuances from animal models

Not all data point in one direction: some animal studies report that chronic nicotine exposure enhanced insulin sensitivity via α7 nicotinic acetylcholine receptor–STAT3 pathways in rodents, implying receptor‑specific or dose/time dependent effects that complicate direct translation to humans [5]. These mechanistic divergences underscore that nicotine’s effects may depend on receptor subtype engagement, exposure pattern, and species differences [5].

6. What this means in practice and limits of the evidence

Taken together, human experimental and observational data support that stopping nicotine tends to increase insulin sensitivity by reversing nicotine‑driven molecular inhibition of insulin signaling, but the clinical benefit can be delayed or masked by post‑cessation weight gain and may be reduced if nicotine replacement is used long‑term; mechanistic animal data and receptor‑specific findings introduce uncertainty about absolute effects and optimal cessation strategies [1] [2] [3] [4] [5]. Reporting limitations include relatively short follow‑up in many human studies, variable control for weight change, and translational gaps between cell/animal models and human physiology, so definitive quantification of the effect size over the long term remains unsettled [1] [9] [5].

Want to dive deeper?
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