Skip to main content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Curr Neuropharmacol. 2011 Mar; 9(1): 45–48.
PMCID: PMC3137199
PMID: 21886560

May Exercise Prevent Addiction?

Abstract

Amphetamines exert their persistent addictive effects by activating brain's reward pathways, perhaps through the release of dopamine in the nucleus accumbens (and/or in other places). On the other hand, there is a relationship between dopamine and all behavioural aspects that involve motor activity and it has been demonstrated that exercise leads to an increase in the synthesis and release of dopamine, stimulates neuroplasticity and promotes feelings of well-being. Moreover, exercise and drugs of abuse activate overlapping neural systems. Thus, our aim was to study the influence of chronic exercise in the mechanism of addiction using an amphetamine-induced conditioned-place-preference in rats.

Adult male Sprague-Dawley rats were randomly separated in groups with and without chronic exercise. Chronic exercise consisted in a 8 week treadmill running program, with increasing intensity. The conditioned place preference test was performed in both groups using a procedure and apparatus previously established. A 2 mg.kg-1 amphetamine or saline solution was administered intraperitonially according to the schedule of the conditioned place preference.

Before conditioning none of the animals showed preference for a specific compartment of the apparatus. The used amphetamine dose in the conditioning phase was able to produce a marked preference towards the drug-associated compartment in the group without exercise. In the animals with exercise a significant preference by the compartment associated with saline was observed.

These results lead us to conclude that a previous practice of regular physical activity may help preventing amphetamine addiction in the conditions used in this test.

Keywords: Amphetamine, Conditioned-place-preference, Exercise, Training, Addiction.

INTRODUCTION

Drug addiction is characterized by a sequence of processes that lead to the relapsing nature of the disorder. Since the dopaminergic mesocorticolimbic system is considered to be involved in reward-related associative learning [1], reinforcement [2] and incentive salience [3], it may have a crucial role in the development of drug addiction. On the other hand, physical activity involves the synthesis and release of dopamine in the basal ganglia [4]. Therefore, the dopaminergic mesocorticolimbic brain system seems particularly involved in both the execution of physical activity and in some characteristics that may lead to the development of drug addiction.

Although one of the main public health goals is maintaining brain health and plasticity throughout life, it is becoming clear that physical activity and behavioural stimulation can help us to achieve such objective, since they can act as a powerful trigger not only for peripheral adaptive processes, such as cardiovascular and musculoskeletal adaptations, but also for brain plasticity [5-12]. Some of these beneficial effects are observed in diseases such as depression [13] and Parkinson’s disease [14-16], and even some neurorestoration properties have been recognized in studies using basal ganglia injuries [17].

There are two types of methods to evaluate drug addiction: 1. The self-administration models (Operant and Non-Operant), that are widely used in basic drug abuse research, because they are well structured and show face validity towards drug consumption in humans; 2. Models where the drug is administered by the experimenter at a dosage and temporal distribution independent of the subject’s will and behaviour. One example of the latter is the conditioned place preference (CPP) which was introduced in the 1980s to compensate methodological and interpretive difficulties associated with the self-administration technique. Although CPP measures a learning process fundamentally distinct from drug self-administration, it presents main advantages: (1) the possibility to test animals in a drug-free state; (2) sensitivity to motivational properties such as rewarding or aversive drug effects; (3) the possibility to use CPP and determine locomotor activity simultaneously; (4) the possibility to be applied to several species. It is also important to refer the existence of some limitations that include: (1) the interference of the notion of “novelty seeking” in the interpretation of results; (2) the difficulty to obtain graded dose-effect curves needed in some pharmacological studies; (3) the possibility of a previous drug-conditioning context preference demonstrated by animals; and (4) the yet not demonstrated validity as an experimental protocol of drug reward in humans.

Despite the above limitations, the CPP paradigm is widely accepted as a behavioural approach to better understand the neural mechanisms of rewarding effect and for screening drugs for abuse liability [18].

Thus, taking into account that both drug addiction and physical activity share the dopaminergic system, our attention in this study was focused in the influence of chronic exercise in the prevention of addiction using an amphetamine-induced conditioned-place-preference in rats, a popular model of drug-mediated associative learning.

MATERIAL AND METHODS

Adult male Sprague-Dawley rats (Charles River Laboratories Inc., Barcelona, Spain), 8 weeks old, were housed (3 per cage) under controlled conditions of room temperature (21 ± 1ºC), humidity, and with light/dark cycles of 12 h, supplied with food and water ad libitum.

They were randomly separated in a group that performed chronic exercise (“With Training”), and in other group that did not practice exercise (“Without Training”). Chronic exercise consisted in a 8 weeks treadmill running program (Panlab/Letica LE8706, Barcelona, Spain), with increasing total session time (from 15 min in the beginning to 50 min in the last week) and intensity (daily maximal velocity increased from 12 cm/s to 54 cm/s and a 5% slope included in the fourth week).

In order to perform the conditioned place preference, animals were moved one hour earlier to the test room, being kept in the dark (with a dim red light allowing only the operator to see) and with minimal noise interference, in order to minimize stress in the animals. The test was performed in an apparatus consisting in two principal compartments (63x30x30 cm), connected by a smaller one (63x10x10 cm) (Panlab/Letica LE8706, Barcelona, Spain). The principal compartments have two different colours (white and black) and floor textures (rough and smooth, respectively) to be perfectly distinguished by the animals and to prevent any innate preference. This apparatus was previously tested.

This CPP test consists in three phases. The first one is the pre-conditioning phase, when animals are allowed to explore all the compartments of the apparatus for 20 min and the time spent in each compartment registered, in order to test the animals for any innate preference for a specific compartment. In the second phase, or conditioning phase, animals from both groups (with and without training) are randomly selected to the saline or amphetamine treated group. This phase has the duration of 8 consecutive days and animals were injected intraperitonially with 2 mg.kg-1 amphetamine and saline solution (NaCl 0.9%) in every other day (total of 4 injections of amphetamine or saline solution), being the compartments associated to one of the conditions. We used an unbiased conditioned place preference protocol, being the drug injection associated with an arbitrarily chosen compartment, counterbalanced across individuals. As the rewarding effect has a temporal profile that presumably increases and then decreases across time since administration, animals were injected and immediately placed in the previously chosen compartment for 45 min. The third phase (post-conditioning or test phase) is similar to the pre-conditioning one (free access to compartments for 20 min, and registration of the time spent in each of them).

All the experiments were performed under the rules of the European Convention on Animal Care.

STATISTICAL ANALYSIS

Results are presented in time (seconds), and data are shown as mean ± standard error of the mean (SEM). The differences between means within groups comprising trained and untrained animals were analysed by unpaired two-tailed student´s t-test. Significant differences were defined at p < 0.05.

RESULTS

In the first phase of the conditioned place preference test (pre-conditioning phase), animals were tested in a drug-free state and both groups (with and without training) spent similar times exploring the apparatus (Fig. 11). Animals that had a previous training presented no significant differences between mean time spent in the white compartment with the rough floor (470.3 ± 17.5 sec, n = 16) and in the black compartment with the smooth floor (479.6 ± 16.6 sec, n = 16). The animals without training presented similar results, spending no significant different mean times (p > 0.05) in the white compartment (447.5 ± 37.9 sec, n = 14) and in the black compartment (428.4 ± 36.0 sec, n = 14).

An external file that holds a picture, illustration, etc.
Object name is CN-9-45_F1.jpg

Time (in sec) spent in each compartment (black with smooth floor or white with rough floor) in the Pre-Conditioning Phase, for trained and untrained groups. Results shown are mean ± SEM; n=6-10 rats per group.

As in this pre-conditioning phase none of the animals presented preference for a specific compartment, all of them were used in the next phase of the test (conditioning phase).

After conditioning, the group without chronic exercise showed a marked preference for the compartment previously associated with amphetamine (Fig. 22). The mean time spent by these animals in the amphetamine associated compartment (641.9 ± 40.9 sec, n = 8) is significantly different from the mean time spent in the compartment where the saline solution was administered (304.5 ± 36.2 sec, n = 8).

An external file that holds a picture, illustration, etc.
Object name is CN-9-45_F2.jpg

Time (in sec) spent in compartments paired with saline or amphetamine (2 mg.kg-1) after conditioning, for trained and untrained groups. Results shown are mean ± SEM; n=6-10 rats per group. # p < 0.05; ## p < 0.01.

On the other hand, animals with chronic exercise presented a significant higher mean time spent in the compartment associated with the saline injection (556.3 + 34.7 sec, n = 8) than in that associated with the amphetamine compartment (416.6 + 27.5 sec, n=8) (Fig. 22).

DISCUSSION

Over a decade ago, a theory proposed that there could be a common brain circuitry underlying both drug reward and locomotor’s stimulation [19]. Our results seem to suggest that exercise by recrutiting this common brain pathway prevent amphetamine-seeking behaviour.

The used training protocol was designed considering that moderate regular exercise for at least six weeks can bring beneficial effects in a long term basis, not only at cardiovascular and muscular, but also at a neurochemical level [20, 21]. We have to consider that this type of exercise is forced and not spontaneous. Therefore, one can not rule out the contribution played by stress inherent to the training procedure to the obtained results [22]. In fact, previous studies show that activation of prefrontal circuits may play a crucial role in mechanisms by which some kind of stress stimulates reward circuits [23-25].

Although presenting some disadvantages, the conditioned place preference, as previously mentioned, has been successfully used in measuring the reward effect of drugs like amphetamines in rats [18, 26].

One of the mentioned problems in analyzing the results obtained could be the presence of an innate preference for one of the compartments. To avoid this situation, a previous test was performed with a small number of animal (results not shown) used to calibrate the apparatus. In this previous test we could verify a preference for the black compartment before introducing a difference in the compartments floor textures. As mentioned by Vezina and Stewart [27], a single element can control a place preference as a Pavlovian behaviour, and we could revert what seemed an innate preference for that particular compartment after introducing a different tactile stimuli from texture flooring. With this decision, any strong bias in preference was minimized, as shown in the pre-conditioning results. Thus, an unbiased procedure was used in the conditioning phase.

The problem mentioned as novelty seeking behaviour, that could interfere with the obtained results analysis, was solved by the use of a third compartment, as suggested by Mucha and Iversen [28] and Parker [29]. The novel environment is presented to all animals and the time spent in the drug-paired compartment is superior to the time spent in the novel environment. In accordance to the expected, the group without training spent a significant longer time in the drug-paired compartment. Conversely, the group with training spent more time in the compartment associated with the saline administration.

Another major problem is due to the fact that the dose-effect results are not manifested until the final test day, following conditioning, thus preventing adjustments in the tested doses as the experiment progresses. Once the group without training after conditioning showed a marked preference by the drug paired compartment, we can assume that the chosen drug administration protocol (4 x 2 mg.kg-1 amphetamine; one injection every other day) is able to induce the drug-seeking behaviour. In summary, since all the major problems associated to the conditioned place preference apparatus were controlled, we can confirm the efficacy of the test and so the obtained results can be reliable.

Considering that the conditioned place preference test under the selected conditions (amphetamine dose, floor textures, general room conditions) shows a drug-seeking behaviour in the untrained animals, the significant higher mean time spent in the saline associated compartment by animals with training represents a positive effect of chronic exercise in drug rewarding properties. Therefore, we can hypothesize that a moderate to high intensity regular exercise is altering the reward circuitry/mechanisms for amphetamine (in this dose). To complement this fact, other groups already notice beneficial effects of training procedures in those detrimental/harmful effects of drug consumption, like impairment in short-term memory and learning [30]. According to this information we can view that our results are in accordance to previous studies, bringing forward the idea that a training protocol consisting in regular exercise, maintained for a long period of time, may abolish the drug-seeking behaviour, one of the steps that can lead to drug addiction.

Although exercise may prevent drug addiction, one should be aware that when the exercise schedules interfere with the social, occupational and family lives it can be consider itself as a dependence [31].

ACKNOWLEDGEMENT

This work was supported by a grant from FCT (POCI/DES/60227/2004), Portugal.

REFERENCES

1. Di Chiara G, Tanda G, Bassareo V, Pontieri F, Acquas E, Fenu S, Cadoni C, Carboni E. Drug addiction as a disorder of associative learning. Role of nucleus accumbens shell/extended amygdala dopamine. Ann. N. Y. Acad. Sci. 1999;877 :461–485. [PubMed] [Google Scholar]
2. Koob GF. Drugs of abuse: anatomy, pharmacology and function of reward pathways. Trends Pharmacol. Sci. 1992;13(5 ):177–184. [PubMed] [Google Scholar]
3. Berridge KC, Robinson TE. What is the role of dopamine in reward: hedonic impact, reward learning, or incentive salience? Brain Res. Brain Res. Rev. 1998;28(3 ):309–369. [PubMed] [Google Scholar]
4. Meeusen R, Smolders I, Sarre S, de Meirleir K, Keizer H, Serneels M, Ebinger G, Michotte Y. Endurance training effects on neurotransmitter release in rat striatum: an in vivo microdialysis study. Acta Physiol. Scand. 1997;159(4 ):335–341. [PubMed] [Google Scholar]
5. Dishman RK, Berthoud HR, Booth FW, Cotman CW, Ed-gerton VR, Fleshner MR, Gandevia SC, Gomez-Pinilla F, Greenwood BN, Hillman CH, Kramer AF, Levin BE, Moran TH, Russo-Neustadt AA, Salamone JD, Van Hoomissen JD, Wade CE, York DA, Zigmond MJ. Neurobiology of exercise. Obesity (Silver Spring) 2006;14(3 ):345–356. [PubMed] [Google Scholar]
6. Howells FM, Russell VA, Mabandla MV, Kellaway LA. Stress reduces the neuroprotective effect of exercise in a rat model for Parkinson's disease. Behav. Brain Res. 2005;165(2 ):210–220. [PubMed] [Google Scholar]
7. Lee HH, Shin MS, Kim YS, Yang HY, Chang HK, Lee TH, Kim CJ, Cho S, Hong SP. Early treadmill exercise decreases intrastriatal hemorrhage-induced neuronal cell death and increases cell proliferation in the dentate gyrus of streptozotocin-induced hyperglycemic rats. J. Diabetes Complications. 2005;19(6 ):339–346. [PubMed] [Google Scholar]
8. Meeusen R. Exercise and the brain: insight in new therapeutic modalities. Ann. Transplant. 2005;10(4 ):49–51. [PubMed] [Google Scholar]
9. Smith AD, Zigmond MJ. Can the brain be protected through exercise? Lessons from an animal model of parkinsonism. Exp. Neurol. 2003;184(1 ):31–39. [PubMed] [Google Scholar]
10. Tillerson JL, Cohen AD, Philhower J, Miller GW, Zigmond MJ, Schallert T. Forced limb-use effects on the behavioral and neurochemical effects of 6-hydroxydopamine. J. Neurosci. 2001;21(12 ):4427–4435. [PMC free article] [PubMed] [Google Scholar]
11. Tillerson JL, Miller GW. Forced limb-use and recovery following brain injury. Neuroscientist. 2002;8(6 ):574–585. [PubMed] [Google Scholar]
12. Wu AM, Cohen AD, Philhower J, Miller GW, Zigmond MJ, Schallert T. Physical and psychosocial factors associated with health-promoting behaviors among elderly Chinese with type-2 diabetes. J. Health Psychol. 2004;9 (6 ):731–740. [PubMed] [Google Scholar]
13. Sarbadhikari SN, Saha AK. Moderate exercise and chronic stress produce counteractive effects on different areas of the brain by acting through various neurotransmitter receptor subtypes: a hypothesis. Theor. Biol. Med. Model. 2006;3:33–50. [PMC free article] [PubMed] [Google Scholar]
14. Faherty CJ, Raviie Shepherd K, Herasimtschuk A, Smeyne RJ. Environmental enrichment in adulthood eliminates neuronal death in experimental Parkinsonism. Brain Res. Mol. Brain Res. 2005;134(1 ):170–179. [PubMed] [Google Scholar]
15. Sutoo D, Akiyama K. Regulation of brain function by exercise. Neurobiol. Dis. 2003;13(1 ):1–14. [PubMed] [Google Scholar]
16. Tillerson JL, Caudle WM, Reverón ME, Miller GW. Exer-cise induces behavioral recovery and attenuates neurochemical deficits in rodent models of Parkinson's disease. Neuroscience. 2003;119(3 ):899–911. [PubMed] [Google Scholar]
17. Fisher BE, Petzinger GM, Nixon K, Hogg E, Bremmer S, Meshul CK, Jakowec MW. Exercise-induced behavioral recovery and neuroplasticity in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mouse basal ganglia. J. Neurosci. Res. 2004;77(3 ):378–390. [PubMed] [Google Scholar]
18. Bardo MT, Bevins RA. Conditioned place preference: what does it add to our preclinical understanding of drug reward? Psychopharmacology (Berl) 2000;153(1 ):31–43. [PubMed] [Google Scholar]
19. Wise RA, Bozarth MA. A psychomotor stimulant theory of addiction. Psychol. Rev. 1987;94(4 ):469–492. [PubMed] [Google Scholar]
20. Hand GA, Phillips KD, Dudgeon WD, William Lyerly G, Larry Durstine J, Burgess SE. Moderate intensity exercise training reverses functional aerobic impairment in HIV-infected individuals. AIDS Care. 2008;20(9 ):1066–1074. [PubMed] [Google Scholar]
21. McNicol AJ, O'Brien BJ, Paton CD, Knez WL. The effects of increased absolute training intensity on adaptations to endurance exercise training. J. Sci. Med. Sport. 2009;12(4 ):485–489. [PubMed] [Google Scholar]
22. Mello PB, Benetti F, Cammarota M, Izquierdo I. Effects of acute and chronic physical exercise and stress on different types of memory in rats. An. Acad. Bras. Cienc. 2008;80(2 ):301–309. [PubMed] [Google Scholar]
23. Kalivas PW. How do we determine which drug-induced neuroplastic changes are important? Nat. Neurosci. 2005;8(11 ):1440–1441. [PubMed] [Google Scholar]
24. Marinelli M, Piazza PV. Interaction between glucocorticoid hormones, stress and psychostimulant drugs. Eur. J. Neurosci. 2002;16(3 ):387–394. [PubMed] [Google Scholar]
25. Self DW. Regulation of drug-taking and -seeking behaviors by neuroadaptations in the mesolimbic dopamine system. Neuropharmacology. 2004;47(Suppl 1):242–255. [PubMed] [Google Scholar]
26. Sherman JE, Roberts T, Roskam SE, Holman EW. Temporal properties of the rewarding and aversive effects of amphetamine in rats. Pharmacol. Biochem. Behav. 1980;13(4 ):597–599. [PubMed] [Google Scholar]
27. Vezina P, Stewart J. Conditioned locomotion and place preference elicited by tactile cues paired exclusively with morphine in an open field. Psychopharmacology (Berl) 1987;91(3 ):375–380. [PubMed] [Google Scholar]
28. Mucha RF, Iversen SD. Reinforcing properties of morphine and naloxone revealed by conditioned place preferences: a procedural examination. Psychopharmacology (Berl) 1984;82(3 ):241–247. [PubMed] [Google Scholar]
29. Parker LA. Place conditioning in a three- or four-choice apparatus: role of stimulus novelty in drug-induced place conditioning. Behav. Neurosci. 1992;106(2 ):294–306. [PubMed] [Google Scholar]
30. Alaei H, Borjeian L, Azizi M, Orian S, Pourshanazari A, Hanninen O. Treadmill running reverses retention deficit induced by morphine. Eur. J. Pharmacol. 2006;536(1-2 ):138–141. [PubMed] [Google Scholar]
31. MacLaren VV, Best LA. Symptoms of exercise dependence and physical activity in students. Percept. Mot. Skills. 2007;105(3 Pt 2):1257–1264. [PubMed] [Google Scholar]

Articles from Current Neuropharmacology are provided here courtesy of Bentham Science Publishers

-